director, web engineering Jobs in Indianapolis

director, web engineering

electrical engineer design lead Jobs in Indianapolis

electrical engineer design lead

principal assembly process engineer Jobs in Indianapolis

principal assembly process engineer

senior data architect Jobs in Indianapolis

senior data architect

senior engineer

ai principal architect

Infosys

<div>Infosys is seeking an AI Principal Architect. In this role, you will lead the design and implementation of AI-driven product capabilities across multiple domains like Aero, Manufacturing, Retail, Finance etc. using both Traditional &amp; Generative AI + Machine Learning. The role involves defining architecture, guiding development, and enabling innovation across AI/ML, LLM, RAG, and Agentic AI use cases. The ideal candidate combines strong technical depth with product mindset, collaboration, and leadership. The candidate should have technical consulting capabilities, Solutioning acumen, Domain knowledge on any of the industries where GEN AI is applied. Candidate should be able to conduct value stream workshops in discovering the AI implementation scope and able to create architecture and detailed solutions. Candidate should have excellent communication skills. 
 
Required Qualifications 
Candidates can be located in Indianapolis, IN or Richardson, TX or Raleigh, NC or Phoenix, AZ. This position will require travel to project locations. 
Bachelor&rsquo;s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. 
At least 11 years of overall IT experience. 
Strong foundation in NLP, and LLM-based architectures. 
Familiarity with machine learning, deep learning (Strong knowledge is an added advantage) 
Hands-on expertise with Python, TensorFlow, PyTorch, LangChain, LangGraph/CrewAI/AutoGen, Hugging Face, and MLflow. 
Experience with cloud AI ecosystems &mdash; AWS (SageMaker, Bedrock), Azure (AI Studio, OpenAI), or GCP (Vertex AI). GraphRAG 
Experience in Foundation models, Codex tool plugins, New Coding tools (Cursor, Devin) 
Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, MILVUS) and RAG pipelines. 
Familiarity with containerization (Docker, Kubernetes) and MLOps workflows. 
Exposure to prompt engineering, fine-tuning, evaluation, and responsible AI practices. 
Understanding of data engineering, model observability, and AI governance. 
Key Responsibilities will include: 
<ul><li>Architect and deliver scalable GenAI solutions across data, model, and application layers.</li><li>Define reference architectures, reusable patterns, and best practices for AI integration into products.</li><li>Design and operationalize LLM, RAG, Copilot, and Agentic AI workflows.</li><li>Familiarity with ML and able to integrate AI/ML solutions</li><li>Establish MLOps and GenAIOps pipelines for model lifecycle management, monitoring, and governance.</li><li>Collaborate with product, data, and engineering teams to translate business needs into AI-enabled features.</li><li>Lead PoCs and innovation initiatives to evaluate emerging frameworks and technologies.</li><li>Mentor teams on AI engineering, prompt design, and scalable deployment practices.</li><li>Support pre-sales and customer discussions to define solution approaches and architecture options.</li><li>Familiarity of a Product development Value chain in a domain.
</li></ul> 
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future. 
 
Preferred Qualifications: 
Strong analytical, problem-solving, and communication abilities. 
Collaborative mindset with ability to work across product, engineering, and data teams. 
Thought leadership in driving AI adoption, innovation, and best practices. 
Experience supporting AI CoE initiatives and customer engagements. 
 
The job entails sitting as well as working at a computer for extended periods of time.
 
Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.</div>

AI Principal Architect

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.
Position Summary
Development, Standards &amp; Secure Design<ul><li>
Lead development and enforcement of application and AI security policies, standards, and guardrails, embedding security-by-design across both traditional and AI-driven systems.</li><li>
Establish secure design patterns for AI agent frameworks, covering prompt management, tool invocation, memory handling, autonomy boundaries, and escalation controls.</li><li>
Promote organization-wide awareness of AI-specific risks such as model misuse, prompt injection, data leakage, and unsafe agent behavior.</li></ul>
AI &amp; Agentic Security Architecture<ul><li>
Serve as the principal SME for securing AI-enabled applications and agentic system architectures.</li><li>
Architect and review secure designs for systems leveraging LLMs/foundation models, autonomous and semi-autonomous agents, RAG pipelines, and tool‑using or decision‑making workflows.</li><li>
Define identity, authorization, data access, and observability controls specific to agentic environments while partnering closely with AI platform, product, and data teams to ensure responsible AI delivery.</li></ul>
Collaboration, Leadership &amp; Influence<ul><li>
Influence engineering and product teams to integrate secure engineering practices and align security with compliance, privacy, and responsible AI initiatives.</li><li>
Advise senior leadership on AI security implications, architectural decisions, and long-term strategy while shaping roadmaps that anticipate emerging AI threats and regulatory requirements.</li></ul>
Testing, Analysis &amp; Risk Management<ul><li>
Lead advanced security testing and risk assessments for AI-enabled systems, including threat modeling of agent workflows, abuse/misuse analysis, and secure design reviews of AI pipelines.</li><li>
Evaluate and guide adoption of new AI security tools, ensuring protections maintain confidentiality, integrity, availability, and responsible data use.</li></ul>
Operational Response &amp; Continuous Improvement<ul><li>
Provide senior technical leadership during incidents involving application or AI systems, guiding response strategies for misuse, data exposure, and autonomous failures.</li><li>
Translate operational learnings into improved security architecture, controls, and system resilience.</li></ul>
Mentorship, Innovation &amp; Strategy<ul><li>
Mentor senior and principal engineers to elevate security maturity across the organization.</li><li>
Contribute to research and evaluation of emerging AI security practices and play a key role in shaping the long-term application and AI security roadmap, advocating for security as a strategic accelerator for AI adoption.</li></ul>
Required Qualifications<ul><li>
10+ years of experience designing, building, and securing large-scale applications and platforms.</li><li>
7+ years of expertise in application security, including threat modeling, secure design, and vulnerability management.</li><li>
7+ years of programming experience in one or more languages such as Python, Java, JavaScript, C#, or Go.</li><li>
5+ years of experience with AI-enabled systems, including LLM-based applications or agentic workflows.</li><li>
5+ years of experience public cloud platforms (AWS, Azure, and/or GCP) and modern application architectures.</li><li>
3+ years of experience with containerized, serverless, and microservice-based architectures.</li></ul>
Preferred Qualifications<ul><li>
Hands-on experience securing AI agents, RAG pipelines, and tool-using LLM systems.</li><li>
Proven ability to lead complex security initiatives from concept through enterprise-scale adoption.</li><li>
Familiarity with AI governance, responsible AI principles, and emerging AI security standards.</li><li>
Experience integrating security controls into CI/CD pipelines for AI and application workloads.</li><li>
Strong understanding of compliance frameworks (PCI, HIPAA, NIST, HITRUST, CSA).</li><li>
Experience influencing security strategy beyond a single team, including enterprise or platform-level impact.</li><li>
Contributions to security research, open-source projects, or industry communities.</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:
$144,200.00 - $288,400.00 
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: 03/18/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Principal Application Security Engineer – AI & Agentic Systems

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Salesforce&rsquo;s Employee Success (ES) Product Management team is advancing AI-driven data initiatives to expand our data capabilities across all ES functions. A key priority is developing a robust data and AI foundation to support innovation, automation, and data-driven decision-making.
We are seeking a highly skilled Lead Data Engineer with expertise in data engineering, AI, and machine learning, along with experience in API development. Familiarity with Salesforce Data360 and Agentforce is a plus.
In this role, you will build data pipelines, metrics, analytics solutions, and Agentic AI solutions used by employees globally. You will partner with business teams to translate requirements into technical solutions, integrate data from multiple sources, and develop automated pipelines that generate actionable insights.
Responsibilities
<ul><li>Lead design, development, and optimization of data pipelines to support analytics, AI models, generative AI applications, and business intelligence.
</li><li>Architect and maintain APIs for seamless data exchange between systems, including Salesforce Data360 and Agentforce, enabling AI-powered workflows.
</li><li>Leverage AI and machine learning to enhance data processing, predictive analytics, and automation.
</li><li>Implement and integrate large language models (LLMs) and generative AI solutions to improve data insights, automated decision-making, and user experiences.
</li><li>Provide technical leadership in Salesforce technologies, including APEX code development, Salesforce Flow, and integrations with external data sources and AI services.
</li><li>Collaborate cross-functionally to implement data governance, security, and compliance best practices.
</li><li>Optimize data storage, processing, and retrieval in cloud environments, ensuring performance and scalability.
</li><li>Provide guidance on Salesforce Data360 integration and utilization.
</li><li>Partner with ES teams to define metrics, build proof-of-concepts, and document functional and technical requirements.
</li><li>Design and develop repeatable automation frameworks supporting AI model training and inference.
</li><li>Lead review and validation of logical and physical design to align with solution architecture.
</li><li>Collaborate with data scientists to support data needs and deploy scalable models.
</li><li>Lead and collaborate with global teams across North America, EMEA, and APAC.
</li></ul>Required Qualifications
<ul><li>Bachelor&rsquo;s degree in Computer Science or relevant work experience; 10+ years in data engineering, data modeling, machine learning, automation, and analytics. People Analytics experience is a plus.
</li><li>Proficiency with SQL, Python, Informatica IICS, and dbt.
</li><li>Strong expertise in AI/ML, including generative AI, LLMs, NLP, and AI model deployment.
</li><li>Experience designing AI-driven solutions, including RAG, vector databases, and embedding models.
</li><li>Proficiency in SQL, Bash, and Python scripting.
</li><li>Experience with orchestration tools (e.g., Apache Airflow) and version control (GIT).
</li><li>Solid understanding of data warehousing and data modeling concepts.
</li><li>Experience integrating systems through APIs.
</li><li>Experience with AWS technologies (EC2, Aurora, Lambda, S3) preferred.
</li><li>Experience with Salesforce Data360 and Snowflake or similar platforms preferred.
</li><li>Deep understanding of data engineering concepts, database design, tools, and architecture.
</li><li>Experience collaborating with Analytics/Data Science teams.
</li><li>Excellent interpersonal skills; team-first mentality.
</li><li>Self-starter, highly motivated, able to adapt quickly to shifting priorities and solve complex problems.
</li><li>Results-oriented, able to work with minimal supervision.
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.</div>

Employee Success Lead Data Engineer

<div>Position Description:

The Sr Data Architect expands upon the responsibilities of Data Architect and takes a more holistic view of the system. The Sr Data Architect is a resource for the architecture, DevOps and engineering teams and provides technical guidance, direction, education, and mentorship. 


Duties &amp; Responsibilities:
<ul>
<li>Demonstrated leadership and mentorship across engineering teams and participates in advancing the skills of the overall team in data analytics, data structure, data security, data governance, and business intelligence.</li>
<li>Established process improvements, tooling, and/or introduced libraries that significantly improved the developer experience in terms of maintainability, quality, scalability, or security.</li>
<li>Consistently produces high quality, maintainable, low defect, well designed, and testable code.</li>
<li>Write and maintain scripts written in Python for data engineering and machine learning pipelines.</li>
<li>Modification of database objects using SQL (stored procedures, views, tables etc.)</li>
<li>Regularly collaborates with other engineers, architects, and DevOps during design and implementation. Also works closely with Product Management and other areas of the business to ensure market needs are met.</li>
<li>Led the technical design and implementation of either a new feature, or a significant refactor of an existing feature set and participates in the discovery track to understand, define, and document the requirements so that it can be executed upon by the development team(s). Including adhering to defined security standards in both functional and non-functional duties of job.</li>
<li>Produces technical documentation that captures and communicates implementation details using:
<ul><li>Flowcharts</li>
<li>Sequence Diagrams</li>
<li>Activity/Dataflow Diagrams</li>
<li>Block Diagrams</li>
<li>State Machine Diagrams</li>
<li>Entity Relationship Diagrams</li>
</ul></li><li>Participates in and provides meaningful feedback in code reviews as it relates to data structure, governance, query optimization, usage, and reporting.</li>
<li>Keeps abreast of technology trends and regularly hosts and/or facilitates technology discussions/lunch and learns or other educational efforts with the broader team.</li>
<li>Recognized by peers as a data expert and leader within the organization.</li>
<li>Work with cloud storage and warehousing tools such as Snowflake.</li>
<li>Maintain and deploy Lambda services in AWS.</li>
<li>Work with reporting software such as Metabase.</li>
<li>Deep understanding of data infrastructure and data architecture with demonstrated ability to conceptualize and implement data solutions from code through infrastructure leveraging best practices and automation that satisfies business needs for reporting and decision making.</li>
<li>Demonstrated understanding of resource cost, planning and optimization when architecting data solutions in the cloud.</li>
<li>Other duties as assigned.</li></ul> 


Education &amp; Experience:
<ul>
<li>Bachelor's or Master's degree in computer science or related required.</li>
<li>15+ years of experience in computer science or related field required.</li>
<li>5+ years of experience with SQL and unstructured databases.</li>
<li>Relational Database design, and architectural patterns for distributed data stores.</li>
</ul><ul><li>10+ years of experience in the architecture, implementation, and support of complex enterprise cloud applications</li>
</ul><ul><li>3+ years of experience with Python and Snowflake or other similar data warehouse tools and services. Also proficiency with libraries such as TensorFlow or PyTorch.</li>
<li>Cloud Native Applications &ndash; Azure/AWS Certification(s).</li>
<li>Automation &ndash; Test (Unit, End to End, Integration), Build, Deployment, Configuration.</li>
<li>Experience with reporting and data models.</li>
<li>Data Structures, Query Optimization, Design Patterns &ndash; Star Schema, Data Vault, etc.</li>
<li>Ability to capture and communicate complex design in simple terms.</li>
<li>Infrastructure as Code using ARM/Terraform/CloudFormation or equivalent.</li>
</ul><div>
Ren is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.</div></div>

Senior Data Architect

Envita Solutions

<div>Envita Solutions, formerly known as Heritage Interactive Services, is a leading total waste management partner. The company is dedicated to fostering a healthier planet by transforming complex waste challenges into sustainable solutions. Headquartered in Indianapolis, Indiana, Envita Solutions operates in the U.S., Mexico, and Canada, has over 300 employees, and a network of over 3,000 supplier partners. A division of The Heritage Group, Envita Solutions is part of a portfolio of more than 30 companies specializing in heavy construction and materials, environmental services, and specialty chemicals. With unique access to research and development and a leading hard tech corporate venture capital portfolio, Envita Solutions is at the forefront of waste and climate challenge innovation.
At Envita, our guiding principles are the foundation of our company. Our vision is to foster a healthier planet by transforming complex waste challenges into sustainable solutions. We exist to protect human health and the environment and build a safer, more sustainable world. We believe in creating enduring value, building long-term relationships and mutual trust, betting on our people, keeping our eyes open for opportunity, tackling the big problems, and doing the right thing-always. 
Envita Solutions is seeking a Senior AI/ML Engineer (Data Science &amp; Automation) to lead the design, development, and deployment of scalable AI/ML and automation solutions that enhance sustainability, efficiency, and decision intelligence. This role blends deep technical expertise with leadership, mentorship, and a strong focus on production impact. You'll play a key role in shaping Envita's AI strategy and data architecture. 
 
Essential Functions<ul><li>
Design and implement scalable data pipelines and ML architectures for production environments.</li><li>
Develop and deploy machine learning and generative AI models that drive measurable operational improvements.</li><li>
Build workflow automation solutions (APIs, UiPath, Power Automate) that improve efficiency and accuracy.</li><li>
Integrate models into cloud-based production systems (Azure ML, Databricks, AWS SageMaker, or GCP Vertex AI).</li><li>
Apply modern ML techniques, including NLP, deep learning, and predictive analytics.</li><li>
Partner with business and technical leaders to identify and prioritize high-value AI/ML opportunities.</li><li>
Define standards for data architecture, ML operations (MLOps), and model governance.</li><li>
Champion best practices for responsible and ethical AI in sustainability-focused operations.</li><li>
Mentor and coach junior data scientists and engineers, promoting excellence and innovation.</li></ul><ul><li>
Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company&rsquo;s core values, competencies, and skills.</li></ul> 
Education Qualifications<ul><li>
Required Bachelor's Degree in Computer Science, Data Science, AI/ML, or related field (Master&rsquo;s/PhD preferred).
</li></ul> 
Experience Qualifications<ul><li>
7+ years of experience in data science, AI/ML engineering, or applied machine learning
</li><li>Proven success developing and maintaining production ML models with measurable impact
</li><li>Hands-on expertise in deep learning, NLP, generative AI, and/or computer vision.
</li><li>Strong experience with cloud platforms (Azure, AWS, or GCP) and pipeline orchestration (Databricks, Airflow, or similar).
</li><li>Prior exposure to sustainability, logistics, or enterprise operations is a plus.
</li></ul> 
Skills and Abilities<ul><li>
Expert in Python and leading ML frameworks (scikit-learn, TensorFlow, PyTorch).
</li><li>Deep understanding of ML principles: supervised/unsupervised learning, deep and reinforcement learning, model evaluation.
</li><li>Familiar with workflow automation tools (UiPath, Power Automate, APIs).
</li><li>Strong communicator and mentor with the ability to translate complex ideas into actionable insights.
</li><li>Builds scalable, production-ready ML systems and fosters collaboration across teams.
</li>Operates effectively as both a builder and coach, driving continuous improvement. 
<li>
</li></ul> 
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.
#EnvitaSolutions</div>

Senior AI/ML Engineer (Data Science & Automation)

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

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

Explore 43+ Ai principal architect in Indianapolis this March. Find roles across top companies and apply now to boost your career.