senior machine learning engineer generative ai full stack applications

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
At CVS Health, our purpose is to deliver better health outcomes by meeting consumers where they are&mdash;through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability.
Our Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us develop that capability.
This is an experienced individual-contributor role focused on evaluating, documenting, building and scaling GenAI and AI-powered capabilities, contributing to solution design, implementation, and production support in partnership with business partners and senior technical leaders.
Key Responsibilities:
Solution Development &amp; Delivery<ul><li>
Implement AI-powered services and application features that integrate enterprise data and systems with LLMs and ML models.</li><li>
Contribute to solution design by proposing approaches, identifying dependencies, and documenting tradeoffs and implementation plans.</li><li>
Deliver features using strong engineering practices: test automation, code review, CI/CD, and operational readiness.</li></ul>
GenAI Engineering Practices<ul><li>
Build and tune RAG pipelines (retrieval, ranking, grounding) and implement prompt patterns that improve reliability and user experience.</li><li>
Contribute to evaluation suites and regression testing to ensure quality and safety over time.</li><li>
Implement guardrails and security controls (input/output validation, policy filtering, and data protection patterns) under guidance from senior engineers.</li></ul>
Reliability, Observability &amp; Support<ul><li>
Instrument services with metrics, traces, logs, and dashboards; participate in incident response and post-incident improvements.</li><li>
Support performance and cost optimization efforts (latency, throughput, caching, and model selection).</li><li>
Follow and reinforce platform standards for deployment, versioning, monitoring, and documentation.</li></ul>
Collaboration &amp; Continuous Improvement<ul><li>
Work closely with product, design, security, and platform teams to refine requirements and deliver customer-focused outcomes.</li><li>
Mentor engineers at earlier career stages and share practical learnings with the broader AI/ML community of practice.</li><li>
Stay current on GenAI and ML platform trends; propose incremental improvements that raise quality and accelerate delivery.</li></ul>
Required Qualifications<ul><li>
5+ years of software engineering experience delivering production systems, including modern APIs and application development.</li><li>
3+ years of experience applying ML/AI concepts in real systems; GenAI exposure (LLMs, RAG, evaluation) strongly preferred.</li><li>
3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.</li></ul>
Preferred Qualifications<ul><li>
Proficiency in backend engineering (APIs, services) and comfort contributing across the stack when needed.</li><li>
Working knowledge of LLM application development (prompting, RAG, tool calling) and evaluation practices.</li><li>
Experience with CI/CD, testing, containerization, and basic Kubernetes concepts.</li><li>
Strong debugging and operational skills; ability to improve reliability and performance based on telemetry and root cause analysis.</li><li>
Effective collaboration and communication skills across technical and non-technical stakeholders.</li></ul>
Education<ul><li>
Bachelor&rsquo;s degree or equivalent experience (High School Diploma and 4 years relevant experience)</li></ul>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$83,430.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/26/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Senior Machine Learning Engineer - Generative AI & Full-Stack Applications

aFit Staffing

<div><div><div><div><div>AI Engineer</div></div> 
<div><div>Greater Indianapolis, IN Residents Only</div></div> 
<div><div>You want to work where you know you are a perfect fit. At aFit, a woman owned (WBE) company based in Indianapolis, we are devoted to being collaborative, honorable, and accountable. Our company provides project-based staffing for government and commercial organizations. To our prospective clients, aFit offers a talented workforce in a team-based environment to produce concrete and reliable outcomes. At aFit, we focus on building strong relationships and keeping the day-to-day flexible in an in-person or remote-enabled environment.

aFit Staffing, Inc. is an equal opportunity employer.
Please note, this full-time position is in Indianapolis, IN and we do not offer relocation assistance at this time. 
</div></div> 
</div></div><div><div><div><div>Description of Duties: 
</div></div> 
<div><div>The AI Engineer will design, develop, and deploy advanced AI solutions that address complex business challenges. This role involves building and training machine learning and deep learning models, performing data preparation and feature engineering, and implementing retrieval-augmented generation (RAG) pipelines that integrate large language models with vector search capabilities. The ideal candidate will develop and maintain AI infrastructure, package models as APIs for integration into existing applications, and monitor production systems for performance, reliability, and model drift. 
</div></div> 
</div></div><div><div><div><div>Skills and Experience: 
</div></div> 
<div><div><ul><li>Designing, developing, and training machine learning and AI models (including deep learning) to address specific business challenges
</li><li>Preparing, cleaning, and transforming large datasets; performing feature engineering and statistical analysis to optimize model performance
</li><li>Designing and implementing retrieval-augmented generation (RAG) pipelines that integrate large language models with vector search capabilities
</li><li>Building and maintaining AI infrastructure, including data pipelines and training environments
</li><li>Packaging models as APIs and integrating them into existing applications
</li><li>Monitoring production models, tracking performance metrics and model drift, and iterating to maintain system reliability and accuracy
</li><li>Strong programming proficiency in Python, C#, and open systems, with experience in machine learning and AI frameworks
</li><li>Solid understanding of data engineering concepts and hands-on experience with SQL, NoSQL, and vector databases
</li><li>Creating user interfaces that deliver actionable insights to end users
</li><li>Able to work in a collaborative team environment to obtain the best results.
</li><li>Work as a topmost trusted partner with aFit and the client.
</li><li>Provide attention to details.
</li><li>Approaches challenges with a positive, consultative mindset
</li><li>Self-starter with the desire to achieve and work with integrity.
</li><li>Willingness to grow and change through ambiguity.
</li><li>Learning agility, or the ability to develop new skills.
</li>Open and receptive to feedback to continuously grow. 
<li>
</li></ul></div></div> 
</div></div><div><div><div><div>Working Schedule and Travel: 
</div></div> 
<div><div>Onsite
Downtown Indianapolis, IN 
</div></div> 
</div></div><div><div><div><div>Education: 
</div></div> 
<div><div>Bachelor&rsquo;s degree or equivalent experience.</div></div></div></div></div>

AI Engineer - Onsite Indianapolis, IN

Moser Consulting

<div><h1 class="jobSectionHeader">About Moser</h1>
For more than 25 years we have formed partnerships and grown through open and honest collaboration with our clients, partners, and employees. We are best known for taking great care of our clients, our dedication to creating a work environment where employees do their best work, and our deep commitment to continuous improvement. Our consultants work in a collaborative and fast-paced environment, are self-motivated, and are passionate about evolving technology. It is no accident that we are recognized as one of the Best Places to Work in Indiana for 10 consecutive years.
Internally, we believe in building strong teams from the top down with a focus on values in our Model-Coach-Care philosophy. Our leadership are encouraged and trained to model good practices, mentor other employees and each other, and show empathy and caring in all interactions. This is the base of our core values: Accountability, Balance, Collaboration, Focus, Integrity, Social Responsibility, Support and Transparency.
Moser Consulting believes in equal opportunity for all people and is committed to enabling a diverse, equitable, and inclusive culture. We foster a spirit of unity that respects the remarkable individuality of everyone's culture, history, and service.
<h1 class="jobSectionHeader">Description</h1>
We are seeking an AI/ML/Data engineer with several years of technical experience building production-grade solutions. This role blends AI/ML engineering, data engineering, and software engineering to support clients across a variety of industries. You will deliver within cloud, on-prem, or hybrid environments (depending on client content) to engineer, deploy, and maintain end-to-end AI/ML systems. You will collaborate with a technical lead, engineers, analysts, and domain stakeholders while building reusable patterns and contributing to a growing Data Intelligence capability.
<h1 class="jobSectionHeader">Role Responsibilities</h1>
Artificial Intelligence / Machine Learning Engineering:
<ul><li>Design, implement and deploy production-grade machine learning models and systems using modern MLOps practices. Deliverables will span from classical ML to Gen AI.</li><li>
Prepare datasets, feature pipelines, evaluation scaffolding, experiment tracking, and model packaging.</li><li>
Implement model inference services, deployment workflows, and monitoring mechanisms.</li><li>
Projects may range from data ingestion and transformation to model serving and application integration.</li><li>
Responsibilities will include debugging, performance tuning, and failure analysis across data and model layers.</li><li>
Collaborate with domain experts to translate analytical requirements into highly performant ML services and reusable solution patterns.</li><li>
Implement model governance and reproducibility standards, ensuring models are versioned.</li></ul>
Data Engineering:
<ul><li>Build ingestion, transformation, and storage pipelines for analytical and ML workflows.</li><li>
Ensure data quality and integrity by implementing data validation and cleansing processes.</li><li>
Tasks may involve evaluating tradeoffs among tools, architectures, and modeling approaches.</li><li>
Leveraging SQL and python data tooling develop scalable, optimized ETL/ELT pipelines to ingest, transform, and load large, complex datasets from disparate sources (batch and streaming). Streamlining for low latency, high throughput and cost-efficiency.</li></ul>
Software Engineering:
<ul><li>Write modular, testable, and maintainable codebases that follow idiomatic patterns.</li><li>
Build APIs, services, and components that integrate models into applications.</li><li>
Use containers, CI/CD (defining, maintaining), and automated testing to ensure reliability.</li><li>
Documentation will include diagrams, reasoning, assumptions, and operational instructions.</li></ul>
Collaboration &amp; Communication:
<ul><li>Work closely w/ a technical lead or senior consultant to align execution with architectural direction and best practices.</li><li>
Proven ability to collaborate effectively with cross-functional teams to understand business requirements and translate them into technical solutions.</li><li>
Proven ability to foster a collaborative and positive team environment, contributing to team success.</li><li>
Proven ability to explain complex concepts to non-technical collaborators.</li><li>
Proven ability to break down requirements into clear actionable steps.</li><li>
Ability to work with clients to ensure smooth and successful implementation, delivery and deployment of AI/ML and other relevant data solutions.</li><li>
Communication and collaboration: Excellent verbal and written communication skills.</li></ul>
<h1 class="jobSectionHeader">Requirements</h1>
<ul><li>Communication and collaboration: Excellent verbal and written communication skills.</li><li>
A solid understanding of statistical analysis, data modeling and data visualization techniques.</li><li>
Excellent time management and organizational skills.</li><li>
Advanced proficiency in SQL; expertise in performance tuning and optimization of SQL queries required.</li><li>
Strong understanding of ETL/ELT fundamentals and orchestration tools.</li><li>
Familiarity with data preprocessing, feature engineering, and model evaluation techniques.</li><li>
Proficiency in Python and SQL with strong grounding in data structures and software fundamentals.</li><li>
Strong understanding of software engineering practices including version control, testing, module design, and code clarity.</li><li>
Expertise in ML, MLOps, and applied AI in production environments.</li></ul>
<h1 class="jobSectionHeader">Preferred Requirements</h1>
<ul><li>Bachelor's, Master's, or Ph.D. degree in Computer Science, Data Science, or a related field.</li><li>
Minimum 3 - 5 years of experience working with Machine Learning models.</li><li>
Must be able to operate effectively in secure, high-compliance, or limited-tooling environments (e.g. no code assistants, on-prem pipelines, locked-down VMs).</li><li>
Demonstrated ability to adapt quickly to new technology stacks and client-specific coding standards.</li><li>
Working knowledge of ML frameworks and libraries, such as: PyTorch, TensorFlow, and scikit-learn.</li><li>
Analytical mindset: Strong problem-solving skills, with the ability to analyze complex data and derive actionable insights.</li><li>
History of designing idempotent data workflows that can gracefully handle failures and restarts without data duplication or corruption.</li><li>
Proven expertise in at least one major cloud platform (AWS, Azure, Snowflake or GCP) utilizing services for compute, data warehousing.</li><li>
History in leverage enterprise platforms (e.g., AI Foundry or similar) to securely containerize and deploy models, ensuring robust endpoint protection, managed identity access, and compliance with organizational security standards.</li><li>
Relevant Certifications are beneficial. 
</li></ul>
<h1 class="jobSectionHeader">Where You'll Work</h1>
Moser has two offices in Indianapolis, IN, and one in Baltimore, MD. This position requires a hybrid/on-site work schedule. Must be able to work at least 3 days on-site at a local client.
<h1 class="jobSectionHeader">Salary</h1>
At Moser Consulting, we believe in pay transparency and fairness. The $120k-$155k salary range for this role is not just a number&mdash;it's a reflection of the value we place on the skills and experience our employees bring to our team. We are committed to offering a competitive salary that aligns with the industry standards and the unique competencies you bring to our community.
<h1 class="jobSectionHeader">Benefits</h1>
For over a quarter of a century, Moser Consulting has been a beacon for top-tier IT talent who excel in self-management. Our people are our greatest asset. We don't just hire the best&mdash;we welcome them into our family, connect them with opportunities, and empower them to create innovative solutions to technology challenges.
Our unique culture is our competitive edge. It fosters happiness, health, and low stress, even in an industry known for its demands. This is why we're consistently recognized as one of the Best Places to Work in Indiana. We provide our employees with an inspiring workspace, a fun and collaborative atmosphere, and a generous compensation package. But that's not all.
We also offer a suite of benefits designed to support and enrich our employees' lives. These include:
<ul><li>Training Opportunities: We believe in lifelong learning and provide numerous avenues for skill enhancement.</li>
</ul><ul><li>Fully Invested 401K Plan: We help secure your future with a fully invested 401K plan.</li>
</ul><ul><li>PPO and HDHP Medical Plans: Choose the health insurance program that best fits your needs.</li>
</ul><ul><li>Employer-Paid Dental and Vision Plans: We cover dental and vision plans, ensuring our employees have access to comprehensive health care.</li>
</ul><ul><li>Onsite Fitness Center: Stay fit and healthy with our state-of-the-art fitness center.</li>
</ul><ul><li>Wellness Program: We promote a healthy lifestyle with our wellness program.</li>
</ul><ul><li>Catered Lunches: Enjoy delicious catered lunches regularly.</li>
</ul>At Moser Consulting, we don't just offer jobs&mdash;we offer careers, growth, and a chance to join a thriving community. Come, be a part of our family.
Moser Consulting is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.</div>

AI Engineer / Data Engineer (Indianapolis, IN / Onsite)

Lilt- Lega Italiana per la Lotta contro i Tumori

<div><h1 class="jobSectionHeader">About LILT</h1>
AI is changing how the world communicates &mdash; and LILT is leading that transformation.
We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.
At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues&mdash;Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1&mdash;guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we&rsquo;re building a category-defining company in a $50B+ global translation market being redefined by AI.
We are looking for a curious and detail-oriented Customer Support Engineer to help our linguists and platform customers get the most out of LILT. You will be the first line of support for platform users, evaluating incoming requests, resolving what you can, and routing what you cannot to the right team.<h1 class="jobSectionHeader">
What You Will Do</h1><ul><li>
Platform support: Assist linguists and platform-only customers with day-to-day platform questions, including running jobs, opening and processing files, and navigating the LILT interface.</li><li>
Bug triage: Investigate and reproduce reported errors, filtering and documenting bugs clearly before escalating to the Engineering team. Communicating feature requests to Product.</li><li>
Queue management: Handle incoming support requests in a timely manner, meeting SLAs and keeping customers informed throughout.</li><li>
Product enhancement requests: Document and relay frequent customer pain points or feature suggestions to drive ongoing platform and process improvements.</li></ul><h1 class="jobSectionHeader">
Skills and Experience</h1>
Localization tooling is a niche. If your background is technically similar but not an exact match, we still want to hear from you!<ul><li>
Between 1-3 years of experience in customer support, localization support, or similar customer-facing roles.</li><li>
Comfortable working with technical products and learning new tools quickly.</li><li>
Strong written and verbal communication skills so you can explain technical difficulties clearly to both end users and technical administrators.</li><li>
An analytical mindset where you dig into complications methodically and know when to escalate.</li><li>
Required expertise in the following:<ul><li>
SQL &amp; Database Management
</li><li>Google Cloud Platform (GCP)</li><li>
REST API</li><li>
Yarn for package management</li></ul></li><li>
Nice to have expertise in the following:<ul><li>
Network (Browse debugging tools)</li><li>
Familiarity with Datadog</li><li>
Github</li><li>
Authentication and SSO troubleshooting</li></ul></li></ul>
Bachelor&rsquo;s degree or equivalent experience preferred; Computer Science, Linguistics, or a related field is a plus but not required.<h1 class="jobSectionHeader">
Our Story</h1>
Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn&rsquo;t used for enterprise products and services inside the company.The quality just wasn&rsquo;t there. So they set out to build something better. LILT was born.
LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn&rsquo;t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI.
With AI innovation accelerating and enterprise demand growing, the next phase of LILT&rsquo;s journey is just beginning.<h1 class="jobSectionHeader">
Our Tech</h1>
What sets our platform apart:<ul><li>
Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent</li><li>
Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing</li><li>
100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation</li><li>
Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review</li></ul><h1 class="jobSectionHeader"> 
LILT in the News</h1><ul><li>
Featured in The Software Report&rsquo;s Top 100 Software Companies!</li><li>
LILT makes it onto the Inc. 5000 List.</li><li>
LILT&rsquo;s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry.</li><li>
Check out all our news on our website.</li></ul>
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including r&eacute;sum&eacute; screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual&rsquo;s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.</div>

Customer Support Engineer

Information Technology Senior Management Forum

<div><div>Posted Date
3/19/2026
</div><div>Description
<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
The Opportunity
Lilly is at an extraordinary inflection point. Our investment in technology is accelerating at an unprecedented pace, and we are fundamentally reimagining how medicines are discovered, developed, and delivered. Tech@Lilly is not a traditional IT organization &mdash; it is the technology engine of one of the world&rsquo;s most valuable healthcare companies.
Central to this transformation is Lilly&rsquo;s landmark $4.5 billion investment in the Lilly Medicine Foundry &mdash; a first-of-its-kind facility in Lebanon, Indiana that integrates research, process development, and advanced manufacturing under one roof. Spanning 1.2 million square feet and expected to produce its first batch of investigational medicine for clinical trials by 2027, the Foundry will manufacture drug substances across small molecules, biologics, and next-generation nucleic acid therapies. This role will be instrumental in defining the technology backbone of the Foundry &mdash; embedding AI, agentic automation, digital twins, and intelligent process control into every stage of the manufacturing lifecycle. The opportunity is to build the foundational digital infrastructure that makes the Foundry not just a manufacturing site, but a learning, self-optimizing platform for how Lilly develops and produces medicines at scale.
We are seeking an Associate Vice President within Tech@Lilly to lead the AI, innovation, and technology vision for the Foundry and Lilly&rsquo;s broader Chemistry, Manufacturing, and Controls (CMC) and Process R&amp;D portfolio &mdash; one of the most technically demanding and scientifically critical domains in pharmaceutical development. This leader will sit at the intersection of cutting-edge AI and platform engineering, applied to one of the most complex regulated manufacturing environments in the world, shaping how Lilly accelerates drug substance and drug product development from bench to commercial launch.
The ideal candidate has built AI-powered platforms in complex, high-stakes environments &mdash; think autonomous systems, advanced manufacturing, defense technology, fintech, or frontier biopharma organizations where AI and engineering are genuine competitive advantages. This is a role for a builder: someone who can design and deploy intelligent platforms at scale, bring rigor and creativity to data-intensive regulated environments, and lead talented engineering and product teams with the urgency of a startup and the scale of a global enterprise. Pharmaceutical domain knowledge is not a prerequisite &mdash; what matters is the ability to learn fast, operate in complex regulated contexts, and apply AI to transform how things are made.
If you&rsquo;ve spent your career building AI platforms for autonomous vehicles, defense systems, advanced manufacturing, financial technology, or technology-forward life sciences organizations &mdash; and you want to apply those capabilities to something with direct human impact &mdash; getting life-changing medicines to patients faster &mdash; this is your moment.
If you have built technology organizations that solve hard problems in regulated, high-consequence environments &mdash; and you are looking for a mission that matters &mdash; this is the role.
What You&rsquo;ll Do
<ul><li>Define and execute a bold technology strategy spanning the Foundry and CMC/Process R&amp;D portfolio &mdash; covering drug substance and drug product development, analytical sciences, formulation, process scale-up, and technology transfer &mdash; with a clear mandate to embed AI, machine learning, and agentic automation throughout, with the Lilly Medicine Foundry as the flagship deployment environment.</li>
<li>Build, lead, and inspire a world-class technology organization that attracts top engineering, data science, and product talent from leading technology companies and biopharma, creating a team culture that rivals the best technology companies while operating within regulated environments.</li>
<li>Drive the architecture, development, and delivery of next-generation platforms for manufacturing data management, digital twins, process control, and laboratory informatics that transform how Lilly develops and scales manufacturing processes &mdash; starting with the Foundry and scaling across the global manufacturing network.</li>
<li>Champion the use of AI and machine learning to accelerate Foundry manufacturing and CMC workflows &mdash; including predictive modeling for formulation and process optimization, agentic systems for automated regulatory document generation, real-time process monitoring with intelligent anomaly detection, and self-optimizing manufacturing control systems.</li>
<li>Serve as a strategic technology partner to CMC and Process R&amp;D leadership, translating complex scientific and regulatory requirements into technology roadmaps that create measurable competitive advantage in speed, quality, and compliance.</li>
<li>Develop fluency in pharmaceutical regulatory frameworks (GxP, 21 CFR Part 11, Annex 11, ICH Q guidelines), partnering with Lilly&rsquo;s regulatory and quality experts to ensure that all platforms and systems meet the highest standards of data integrity, validation, and regulatory readiness.</li>
<li>Partner with leading technology companies, academic collaborators, and technology vendors to bring external innovation into Lilly&rsquo;s manufacturing and R&amp;D ecosystem &mdash; scouting and integrating emerging capabilities in AI-driven manufacturing, continuous processing, and advanced automation that extend beyond what can be built organically.</li>
<li>Foster a transformation and startup mindset across the organization &mdash; driving rapid iteration, continuous delivery, and outcome-oriented execution while maintaining the rigor expected in a regulated environment.</li>
<li>Lead with people: hire exceptional talent, build inclusive and high-performance teams, develop the next generation of technical leaders, and sustain a culture of curiosity, accountability, and impact.</li>
</ul>
Basic Requirements
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Applied Mathematics, Physics, or a closely related technical discipline.</li>
<li>15+ years of progressive technology leadership experience, with at least 5 years leading large-scale technology organizations at the VP level or equivalent.</li>
<li>Track record of applying AI, machine learning, and data science to solve hard problems in complex domains &mdash; not just strategy, but working implementations that have delivered measurable outcomes in production environments.</li>
<li>Entrepreneurial, transformation-oriented mindset with the ability to move from concept to execution quickly, sustain momentum through ambiguity, and lead organizations through technology-driven change.</li>
<li>Demonstrated ability to recruit, develop, and retain exceptional technical talent in competitive markets.</li>
<li>Background in AI-native product development &mdash; including agentic AI, LLM-powered applications, autonomous systems, computer vision, or ML-driven process optimization &mdash; with hands-on experience shipping AI products, not just evaluating them.</li>
<li>Track record leading technology organizations through periods of rapid growth, business model transformation, or M&amp;A integration in complex, high-stakes environments (pharmaceutical, defense, aerospace, financial services, autonomous systems, or similar).</li>
<li>Proven experience building and deploying technology platforms in complex, highly regulated environments where data integrity, compliance, and validation are non-negotiable.</li>
<li>Must be based in or willing to relocate to Indianapolis, Indiana. This is a full-time, on-site executive role with direct people management responsibilities.</li>
</ul>
Additional Skills / Preferences
<ul><li>Advanced degree (Ph.D., M.S., or M.B.A.) in AI, Computer Science, Engineering, or a relevant scientific discipline. Doctoral-level training in a CMC-adjacent field (chemical engineering, pharmaceutics, biochemistry) is a plus but not expected.</li>
<li>Curiosity about and willingness to develop deep understanding of pharmaceutical manufacturing and CMC workflows &mdash; including drug substance and drug product development, analytical sciences, process development, scale-up, and technology transfer. If you already have this background, that&rsquo;s a significant advantage. If not, Lilly will provide world-class domain immersion &mdash; what we need is a fast learner who is energized by mastering new domains.</li>
<li>Experience with regulatory frameworks in any highly regulated industry (GxP, FDA, DoD/ITAR, FedRAMP, SOX, or similar). Familiarity with pharmaceutical-specific regulations (21 CFR Part 11, Annex 11, ICH Q8/Q9/Q10/Q12) is a strong plus.</li>
<li>Experience with manufacturing technology platforms such as LIMS, MES, ELN, PAT systems, digital twins, or equivalent data-intensive operational platforms in other regulated industries.</li>
<li>Experience at companies operating at the frontier of AI and technology &mdash; such as Google, Palantir, Tesla, SpaceX, Verily, Scale AI, Anduril, or other organizations where AI and engineering are core competitive advantages in complex, regulated environments.</li>
<li>Deep fluency in cloud-native engineering, platform architecture, and modern software development practices.</li>
<li>Exceptional communication skills with the ability to operate fluently across C-suite executives, scientists, manufacturing operations leaders, and software engineers.</li>
<li>Experience with external innovation strategies, academic partnerships, and emerging technology investments that extend organizational capability beyond organic development.</li>
</ul>
What Makes This Role Unique
This is not a traditional IT leadership role &mdash; and it&rsquo;s not a traditional pharma role either. It requires someone who has built AI-powered platforms at scale and is energized by applying that capability to one of the most complex, consequential manufacturing environments in the world. You don&rsquo;t need to arrive knowing the language of process chemists and formulation engineers &mdash; but you do need to be the kind of leader who will learn it, challenge assumptions, and find where AI can create step-change improvements. The successful candidate will:
<ul><li>Learn the science quickly and develop enough depth to challenge assumptions, ask the right questions, and identify where technology can create step-change improvements in manufacturing timelines, quality, and cost.</li>
<li>Have the engineering mindset to build platforms that are production-grade, compliant, and scalable &mdash; not just proof-of-concept demonstrations.</li>
<li>Bring the startup urgency to cut through complexity and ship results, while maintaining the regulatory discipline that the pharmaceutical industry demands.</li>
<li>See AI as a practical toolkit &mdash; knowing when and how to apply machine learning, NLP, computer vision, or agentic systems to specific manufacturing and R&amp;D workflows to deliver real operational advantage.</li>
<li>Thrive at the intersection of unfamiliar domains &mdash; the best technology leaders don&rsquo;t just optimize what they already know. They immerse themselves in new fields, find the structural patterns, and build systems that the domain experts didn&rsquo;t know were possible.</li>
</ul>
Additional Information
This position is based in Indianapolis, IN at the Lilly Corporate Center. Relocation assistance is available for the right candidate.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$241,500 - $354,200
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>
</div><div>Salary
241,500.00 - 354,200.00 Annual</div></div><div></div>

Associate Vice President - Tech@Lilly — CMC & Process R&D Technology

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
At CVS Health, our purpose is to deliver better health outcomes by meeting consumers where they are&mdash;through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability.
Our Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us develop that capability.
This is a senior individual-contributor role, focused on identifying evaluating and documenting high-value use cases, designing and prototyping AI-powered solutions, and evolving them into secure, resilient, enterprise-ready products and platform components.
Key Responsibilities:
AI Solution Design &amp; Prototyping<ul><li>
Partner with stakeholders to identify, evaluate, document, and shape GenAI use cases (copilots, automation, decision support, and insight generation) with clear success metrics.</li><li>
Design solution architectures that integrate LLMs with enterprise systems, data sources, and tool/function calling while meeting latency and reliability expectations.</li><li>
Develop prototypes rapidly and validate them through evaluation, red-teaming, and user feedback; document tradeoffs and recommendations.</li></ul>
Production Engineering &amp; Enterprise Readiness<ul><li>
Build production-grade services and full-stack experiences (APIs, UIs, workflows) with secure authentication/authorization, audit logging, and scalable deployment patterns.</li><li>
Implement safety, privacy, and compliance controls (e.g., PHI/PII protection, prompt injection defenses, data residency constraints, and policy-based filtering).</li><li>
Instrument solutions end-to-end with metrics, traces, logs, and model/app observability; contribute to SLOs, error budgets, and operational runbooks.</li></ul>
Model Enablement &amp; Evaluation<ul><li>
Build and maintain evaluation harnesses for LLM quality, safety, and business outcomes (offline tests, golden sets, regression suites, and online experiments).</li><li>
Implement RAG pipelines (chunking, embedding, vector search, reranking) and optimize for accuracy, cost, and latency.</li><li>
Collaborate with platform teams on deployment, monitoring, drift/quality detection, and incident response for model-backed services.</li></ul>
Reusable Components &amp; Engineering Excellence<ul><li>
Contribute reusable libraries and patterns for prompt management, retrieval, tool calling, and policy enforcement.</li><li>
Participate in design reviews and code reviews; mentor senior and mid-level engineers on GenAI engineering practices.</li><li>
Continuously improve developer experience through templates, CI/CD automation, and documentation that accelerates safe adoption.</li></ul>
Required Qualifications:<ul><li>
7+ years of software engineering supporting Data or AI/ML initiatives, including building and operating production services.</li><li>
3+ years applying ML/AI in production; demonstrated hands-on GenAI delivery (LLMs, RAG, evaluation, and safety controls)</li><li>
3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.</li></ul>
Preferred Qualifications<ul><li>
Strong full-stack engineering skills (backend services, APIs, and modern web application development) with a focus on reliability and security.</li></ul><ul><li>
Hands-on expertise with LLM application patterns: RAG, tool/function calling, prompt management, evaluation, and guardrails.</li><li>
Experience with Python and at least one additional backend language; familiarity with common ML libraries and serving frameworks.</li><li>
Working knowledge of containerization and Kubernetes, CI/CD, infrastructure-as-code concepts, and production observability.</li><li>
Ability to communicate clearly, influence across teams, and translate business needs into implementable technical plans.</li></ul>
Education:<ul><li>
Bachelor&rsquo;s degree or equivalent experience (High School Diploma and 4 years relevant experience)</li></ul>
Pay Range
The typical pay range for this role is:
$106,605.00 - $284,280.00 
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/26/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Staff Machine Learning Engineer - Generative AI & Full-Stack Applications

Eli Lilly

<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.<div><h1 class="jobSectionHeader">
The Opportunity</h1>
Lilly is at an extraordinary inflection point. Our investment in technology is accelerating at an unprecedented pace, and we are fundamentally reimagining how medicines are discovered, developed, and delivered. Tech@Lilly is not a traditional IT organization &mdash; it is the technology engine of one of the world&rsquo;s most valuable healthcare companies.
Central to this transformation is Lilly&rsquo;s landmark $4.5 billion investment in the Lilly Medicine Foundry &mdash; a first-of-its-kind facility in Lebanon, Indiana that integrates research, process development, and advanced manufacturing under one roof. Spanning 1.2 million square feet and expected to produce its first batch of investigational medicine for clinical trials by 2027, the Foundry will manufacture drug substances across small molecules, biologics, and next-generation nucleic acid therapies. This role will be instrumental in defining the technology backbone of the Foundry &mdash; embedding AI, agentic automation, digital twins, and intelligent process control into every stage of the manufacturing lifecycle. The opportunity is to build the foundational digital infrastructure that makes the Foundry not just a manufacturing site, but a learning, self-optimizing platform for how Lilly develops and produces medicines at scale.
We are seeking an Associate Vice President within Tech@Lilly to lead the AI, innovation, and technology vision for the Foundry and Lilly&rsquo;s broader Chemistry, Manufacturing, and Controls (CMC) and Process R&amp;D portfolio &mdash; one of the most technically demanding and scientifically critical domains in pharmaceutical development. This leader will sit at the intersection of cutting-edge AI and platform engineering, applied to one of the most complex regulated manufacturing environments in the world, shaping how Lilly accelerates drug substance and drug product development from bench to commercial launch.
The ideal candidate has built AI-powered platforms in complex, high-stakes environments &mdash; think autonomous systems, advanced manufacturing, defense technology, fintech, or frontier biopharma organizations where AI and engineering are genuine competitive advantages. This is a role for a builder: someone who can design and deploy intelligent platforms at scale, bring rigor and creativity to data-intensive regulated environments, and lead talented engineering and product teams with the urgency of a startup and the scale of a global enterprise. Pharmaceutical domain knowledge is not a prerequisite &mdash; what matters is the ability to learn fast, operate in complex regulated contexts, and apply AI to transform how things are made.
If you&rsquo;ve spent your career building AI platforms for autonomous vehicles, defense systems, advanced manufacturing, financial technology, or technology-forward life sciences organizations &mdash; and you want to apply those capabilities to something with direct human impact &mdash; getting life-changing medicines to patients faster &mdash; this is your moment.
If you have built technology organizations that solve hard problems in regulated, high-consequence environments &mdash; and you are looking for a mission that matters &mdash; this is the role.<h1 class="jobSectionHeader">
What You&rsquo;ll Do</h1><ul><li>
Define and execute a bold technology strategy spanning the Foundry and CMC/Process R&amp;D portfolio &mdash; covering drug substance and drug product development, analytical sciences, formulation, process scale-up, and technology transfer &mdash; with a clear mandate to embed AI, machine learning, and agentic automation throughout, with the Lilly Medicine Foundry as the flagship deployment environment.</li><li>
Build, lead, and inspire a world-class technology organization that attracts top engineering, data science, and product talent from leading technology companies and biopharma, creating a team culture that rivals the best technology companies while operating within regulated environments.</li><li>
Drive the architecture, development, and delivery of next-generation platforms for manufacturing data management, digital twins, process control, and laboratory informatics that transform how Lilly develops and scales manufacturing processes &mdash; starting with the Foundry and scaling across the global manufacturing network.</li><li>
Champion the use of AI and machine learning to accelerate Foundry manufacturing and CMC workflows &mdash; including predictive modeling for formulation and process optimization, agentic systems for automated regulatory document generation, real-time process monitoring with intelligent anomaly detection, and self-optimizing manufacturing control systems.</li><li>
Serve as a strategic technology partner to CMC and Process R&amp;D leadership, translating complex scientific and regulatory requirements into technology roadmaps that create measurable competitive advantage in speed, quality, and compliance.</li><li>
Develop fluency in pharmaceutical regulatory frameworks (GxP, 21 CFR Part 11, Annex 11, ICH Q guidelines), partnering with Lilly&rsquo;s regulatory and quality experts to ensure that all platforms and systems meet the highest standards of data integrity, validation, and regulatory readiness.</li><li>
Partner with leading technology companies, academic collaborators, and technology vendors to bring external innovation into Lilly&rsquo;s manufacturing and R&amp;D ecosystem &mdash; scouting and integrating emerging capabilities in AI-driven manufacturing, continuous processing, and advanced automation that extend beyond what can be built organically.</li><li>
Foster a transformation and startup mindset across the organization &mdash; driving rapid iteration, continuous delivery, and outcome-oriented execution while maintaining the rigor expected in a regulated environment.</li><li>
Lead with people: hire exceptional talent, build inclusive and high-performance teams, develop the next generation of technical leaders, and sustain a culture of curiosity, accountability, and impact.</li></ul><h1 class="jobSectionHeader">
Basic Requirements</h1><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Applied Mathematics, Physics, or a closely related technical discipline.</li><li>
15+ years of progressive technology leadership experience, with at least 5 years leading large-scale technology organizations at the VP level or equivalent.</li><li>
Track record of applying AI, machine learning, and data science to solve hard problems in complex domains &mdash; not just strategy, but working implementations that have delivered measurable outcomes in production environments.</li><li>
Entrepreneurial, transformation-oriented mindset with the ability to move from concept to execution quickly, sustain momentum through ambiguity, and lead organizations through technology-driven change.</li><li>
Demonstrated ability to recruit, develop, and retain exceptional technical talent in competitive markets.</li><li>
Background in AI-native product development &mdash; including agentic AI, LLM-powered applications, autonomous systems, computer vision, or ML-driven process optimization &mdash; with hands-on experience shipping AI products, not just evaluating them.</li><li>
Track record leading technology organizations through periods of rapid growth, business model transformation, or M&amp;A integration in complex, high-stakes environments (pharmaceutical, defense, aerospace, financial services, autonomous systems, or similar).</li><li>
Proven experience building and deploying technology platforms in complex, highly regulated environments where data integrity, compliance, and validation are non-negotiable.</li><li>
Must be based in or willing to relocate to Indianapolis, Indiana. This is a full-time, on-site executive role with direct people management responsibilities.</li></ul><h1 class="jobSectionHeader">
Additional Skills / Preferences</h1><ul><li>
Advanced degree (Ph.D., M.S., or M.B.A.) in AI, Computer Science, Engineering, or a relevant scientific discipline. Doctoral-level training in a CMC-adjacent field (chemical engineering, pharmaceutics, biochemistry) is a plus but not expected.</li><li>
Curiosity about and willingness to develop deep understanding of pharmaceutical manufacturing and CMC workflows &mdash; including drug substance and drug product development, analytical sciences, process development, scale-up, and technology transfer. If you already have this background, that&rsquo;s a significant advantage. If not, Lilly will provide world-class domain immersion &mdash; what we need is a fast learner who is energized by mastering new domains.</li><li>
Experience with regulatory frameworks in any highly regulated industry (GxP, FDA, DoD/ITAR, FedRAMP, SOX, or similar). Familiarity with pharmaceutical-specific regulations (21 CFR Part 11, Annex 11, ICH Q8/Q9/Q10/Q12) is a strong plus.</li><li>
Experience with manufacturing technology platforms such as LIMS, MES, ELN, PAT systems, digital twins, or equivalent data-intensive operational platforms in other regulated industries.</li><li>
Experience at companies operating at the frontier of AI and technology &mdash; such as Google, Palantir, Tesla, SpaceX, Verily, Scale AI, Anduril, or other organizations where AI and engineering are core competitive advantages in complex, regulated environments.</li><li>
Deep fluency in cloud-native engineering, platform architecture, and modern software development practices.</li><li>
Exceptional communication skills with the ability to operate fluently across C-suite executives, scientists, manufacturing operations leaders, and software engineers.</li><li>
Experience with external innovation strategies, academic partnerships, and emerging technology investments that extend organizational capability beyond organic development.</li></ul><h1 class="jobSectionHeader">
What Makes This Role Unique</h1>
This is not a traditional IT leadership role &mdash; and it&rsquo;s not a traditional pharma role either. It requires someone who has built AI-powered platforms at scale and is energized by applying that capability to one of the most complex, consequential manufacturing environments in the world. You don&rsquo;t need to arrive knowing the language of process chemists and formulation engineers &mdash; but you do need to be the kind of leader who will learn it, challenge assumptions, and find where AI can create step-change improvements. The successful candidate will:<ul><li>
Learn the science quickly and develop enough depth to challenge assumptions, ask the right questions, and identify where technology can create step-change improvements in manufacturing timelines, quality, and cost.</li><li>
Have the engineering mindset to build platforms that are production-grade, compliant, and scalable &mdash; not just proof-of-concept demonstrations.</li><li>
Bring the startup urgency to cut through complexity and ship results, while maintaining the regulatory discipline that the pharmaceutical industry demands.</li><li>
See AI as a practical toolkit &mdash; knowing when and how to apply machine learning, NLP, computer vision, or agentic systems to specific manufacturing and R&amp;D workflows to deliver real operational advantage.</li><li>
Thrive at the intersection of unfamiliar domains &mdash; the best technology leaders don&rsquo;t just optimize what they already know. They immerse themselves in new fields, find the structural patterns, and build systems that the domain experts didn&rsquo;t know were possible.</li></ul><h1 class="jobSectionHeader">
Additional Information</h1>
This position is based in Indianapolis, IN at the Lilly Corporate Center. Relocation assistance is available for the right candidate.</div>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$241,500 - $354,200
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>

Explore 237+ Senior machine learning engineer generative ai full stack applications in Indianapolis this March. Find roles across top companies and apply now to boost your career.

237 senior machine learning engineer generative ai full stack applications jobs In Indianapolis

Senior Machine Learning Engineer - Generative AI & Full-Stack Applications

AI Engineer - Onsite Indianapolis, IN

AI Engineer / Data Engineer (Indianapolis, IN / Onsite)

Customer Support Engineer

Associate Vice President - Tech@Lilly — CMC & Process R&D Technology

Staff Machine Learning Engineer - Generative AI & Full-Stack Applications

Associate Vice President - Tech@Lilly — CMC & Process R&D Technology