associate vice president - tech@lilly — cmc & process r&d technology

project coordinator

account administrator Jobs in Indianapolis

account administrator

assistant project manager Jobs in Indianapolis

assistant project manager

program coordinator

program specialist

ai program manager

Onebridge

<div>Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled AI Program Manager to join our innovative and dynamic team.
AI Program Manager | About You
As an AI Program Manager, you are responsible for coordinating and driving execution across AI‑focused software delivery teams. You bring strong experience supporting programs that involve machine learning workflows, data governance, model development, and cloud‑based AI product delivery. You thrive in Agile environments and excel at bringing structure, alignment, and predictability to complex cross‑team initiatives. You communicate clearly with engineering, product, and data science partners, ensuring dependencies, risks, and priorities are well understood. You are detail‑oriented, highly organized, and skilled at maintaining governance standards while enabling teams to deliver AI capabilities efficiently and consistently.
AI Program Manager | Day-to-Day
<ul><li>Facilitate Agile ceremonies for AI and ML engineering PODs, ensuring all teams follow established AI delivery frameworks and governance processes.</li><li>
Coordinate planning activities with Product, ML Engineering, Data Science, UX, and Architecture by documenting requirements, dependencies, milestones, and risks.</li><li>
Maintain governance artifacts including schedules, RAID logs, decision records, and AI‑specific delivery documentation.</li><li>
Track progress across AI workstreams, capturing updates from sprint reviews, model checkpoints, training cycles, and evaluation sessions.</li><li>
Support cross‑functional alignment by coordinating client engagement logistics, AI use‑case prioritization, and model delivery readiness.</li><li>
Prepare bi‑weekly delivery reports summarizing progress, risks, blockers, and upcoming AI release milestones using Smartsheet, Azure DevOps, or similar tools.</li></ul>
AI Program Manager | Skills &amp; Experience
<ul><li>5+ years of experience supporting software, SaaS, or AI/ML delivery programs in an Agile environment.</li><li>
Proven experience coordinating AI‑enabled product development, including data pipelines, model training workflows, feature engineering, or ML deployment cycles.</li><li>
Strong ability to manage inter‑team dependencies and align work across Product, ML Engineering, Data Science, and Cloud Engineering teams.</li><li>
Experience maintaining program schedules, RAID logs, delivery documentation, and governance artifacts across multiple PODs or workstreams.</li><li>
Proficiency with tools such as Smartsheet, Azure DevOps, and Confluence, including structured reporting and dashboard creation.</li><li>
Familiarity with AI delivery concepts including data governance, model lifecycle stages, technical risks, and responsible AI considerations.</li></ul></div>

AI Program Manager

A Better Way Nanny Referral

Position: House Manager &amp; Nanny We are seeking a positive and energetic House Manager and Nanny to join a loving family in Carmel (around 96th and Meridian) . This vital role combines household management with attentive childcare, ensuring a smooth, organized home environment while providing exceptional care and nurturing for children who are 8 and 10 years old.Key ResponsibilitiesProvide attentive childcare (ages 8 and 10), supporting children's routines, activities, and homework. Outdoor play and interaction is essential for this family.Meal planning, preparation, and grocery shopping.Arrange and supervise playdates, extracurricular activities, and appointments.QualificationsValid driver&rsquo;s license and clean driving record.Physically able to play with the childrenCompensation&middot; $27.00 - $30.00 hourly&middot; Paid vacation and holidays.How to ApplyIf you are interested in interviewing with A Better Way Nanny Referral for this position of House Manager/Nanny, please send your resume through Indeed or call Lynda Pitz at 317-251-8533.AI addition to the description: if you're enthusiastic about nurturing older children, fostering their independence, and creating a safe, fun environment where they can thrive! This role offers the chance to make a positive difference while developing your caregiving skills in a lively, supportive setting.Job Type: Full-timePay: $27.00 - $30.00 per hourBenefits:<ul><li>Paid time off</li></ul>Work Location: In person

Nanny for older children

SonderMind

<div>SonderMind is a leading mental health care platform revolutionizing therapy services by empowering licensed mental health therapists to deliver exceptional care with cutting-edge, AI-powered tools. We are seeking compassionate and highly skilled clinicians to join our expanding network, offering the flexibility to manage your own practice, bring your existing clients, and benefit from steady referrals. 
At SonderMind, we believe there can&rsquo;t be mental healthcare without mentally-strong clinicians. Our platform is designed to outsmart burnout and streamline your workflow, allowing you to focus on what matters most&mdash;your clients. We are committed to fostering relationship-driven care, providing ethically grounded, human-first tools that enhance outcomes and reduce administrative burdens. 
Benefits of Joining SonderMind:<ul><li>
Flexibility: Enjoy the freedom to set your own working hours and maintain a healthy work-life balance. Sessions can be conducted via telehealth or in-person.</li><li>
Free and stress-free credentialing with major insurers: We have streamlined the credentialing process and handle all the hard stuff for you so that you can expand your practice by accepting insurance from major payors in your state in weeks, not months.</li><li>
Guaranteed Pay: We handle all the billing for you and guarantee pay bi-weekly for completed sessions-including no-shows.</li><li>
Referrals and Practice Support: Seamlessly onboard your existing clients while receiving new referrals. Benefit from thoughtful client matching to personalize your caseload, with support from a dedicated account manager to help you grow your practice across various specialties.</li><li>
Absolutely no fees or membership charges: We don&rsquo;t charge you to deliver care, and all of the features, access, tools, and resources you get come free of charge.</li><li>
Innovative AI-Powered Tools: Outsmart burnout and focus on what matters most&mdash;your clients. Our secure, clinically-developed AI tools eliminate administrative tasks and keep clients engaged between sessions. This includes:<ul><li>
AI Notes: Auto-generates editable, insurance-compliant clinical notes, saving you time and reducing documentation burden.</li><li>
Session Takeaways: Extend your care between sessions by reviewing and sending client-friendly summaries of key insights.</li><li>
Session Prep: Help clients clarify goals and focus areas before each session, ensuring you hit the ground running.</li><li>
Goal Setting: Collaborate with clients to set and track goals, increasing engagement and accountability.</li><li>
Treatment Plan: Easily align with clients on diagnoses, goals, and care plans in a clear, clinically grounded format.</li><li>
Reflections: Clients can journal through AI-guided prompts between sessions, providing you with deeper context.</li></ul></li></ul>
Requirements:<ul><li>
Master's degree or higher in counseling, psychology, social work, or a related field.</li><li>
Must be fully licensed by the State Board to provide therapy independently and without supervision (e.g., LPC, LCSW, LMFT, LMHC, LCPC, LCSW-C, LISW, or LP).</li></ul>
Pay: $95-$119 per hour. Pay rates are based on the provider license type, session location, and session types.<ul><li> 
Please note that SonderMind does not provide office space; therapists are responsible for securing their own location for in-person sessions, but we can help connect you with other SonderMind therapists looking to share space.</li></ul></div>

Mental Health Therapist (Indiana)

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

CBRE

About the Role
 The Senior Building Engineer, Utilities supports a pharmaceutical client by performing advanced preventive and corrective maintenance on electrical, mechanical, plumbing, and HVAC systems across the facility. Working under general direction, you’ll oversee building system operations, troubleshoot complex issues, and ensure reliable performance of critical equipment and controls.
 This role requires specialized on site expertise and operates on 12 hour shifts within a 2 2 3 schedule.
 What You’ll Do
 
Operates, maintains, monitors, and performs preventive, predictive, and corrective maintenance on building equipment, which may include: mechanical/HVAC/plumbing systems, electrical/cabling, fire detection and suppression, life safety, lighting, temperature control systems, building management systems, and digital systems.
 Maintains the professional appearances of the property, equipment, engineering spaces, and common areas.
 Maintains adequate supplies and tools and orders necessary materials to complete all tasks.
 Ensures measures are taken to operate all systems in the most efficient manner to keep operating costs at a minimum.
 Coordinates and inspects the work performed by outside contractors. Contracted work may include landscaping, snow removal, remodeling, HVAC, plumbing, and cleaning.
 Carries out tasks following established procedures and maintenance instructions.
 Performs niche and sophisticated tasks such as carpentry, electrical, painting, roofing, HVAC, pipe-fitting, and works with lock out/tag out. Performs inspection of building systems including HVAC, hydronic, plumbing, and electrical. What You’ll Need
 
High School Diploma, GED, or trade school diploma with 5-8 years of job-related experience. In lieu of a diploma, a combination of experience and education will be considered. Prior shift manager or supervisory experience preferred. Universal CFC certification required.
 Additional certification in one or more of the following: HVAC, electrical, mechanical, HVAC and refrigeration systems, process controls, mechanical power transmissions, painting, plumbing, carpentry or engine repair.
 Meet the physical requirements of this role including stooping, standing, walking, climbing stairs/ladders, and the ability to lift/carry heavy loads of 50 lbs. or more.
 The innovative mentality to develop methods that go beyond existing solutions.
 Ability to solve unique problems using standard and innovative solutions having a broad impact on the business.
 In-depth knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc.
 Expert organizational skills with an advanced inquisitive mindset.
 Highly sophisticated math skills. Ability to calculate somewhat complex figures such as percentages, fractions, and other financial-related calculations.
 Why CBRE?
 When you join CBRE, you become part of a global leader in commercial real estate and investment services that help businesses and people thrive. We are dynamic problem solvers and forward-thinking professionals who create significant impact! Our collaborative environment is built on our shared values — respect, integrity, service, and excellence — and we value the varied perspectives, backgrounds, and skills of our people. At CBRE, you have the opportunity to chart your own course and realize your full potential!
 Disclaimers Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.
 Applicant AI Use Disclosure: We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process. These updates reflect our commitment to clarity, inclusivity, and a consistent candidate experience across all postings. I ask you to encourage your teams to begin incorporating the updated statements into all new job adverts immediately - this will help us maintain alignment with our brand tone and hiring values.
 Our Values in Hiring At CBRE, we are committed to fostering a culture where everyone feels they belong. We value diverse perspectives and experiences, and we welcome all applications.
 
Turner & Townsend carefully considers multiple factors to determine compensation, including a candidate’s education, training, and experience. The minimum salary for this position is $90,000 annually and the maximum salary for this position is $105,000 annually. The compensation that is offered to a successful candidate will depend on the candidate’s skills, qualifications, and experience. Successful candidates will also be eligible for a discretionary bonus based on Turner & Townsend’s applicable benefit program. This role will provide the following benefits: 401(K), Dental insurance, Health insurance, Life insurance, and Vision insurance.
 Equal Employment Opportunity: CBRE is an equal opportunity employer that values diversity. We have a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.
 
Candidate Accommodations: CBRE values the differences of all current and prospective employees and recognizes how every employee contributes to our company’s success. CBRE provides reasonable accommodations in job application procedures for individuals with disabilities. If you require assistance due to a disability in the application or recruitment process, please submit a request via email at recruitingaccommodations@cbre.com or via telephone at +1 866 225 3099 (U.S.) and +1 866 388 4346 (Canada).

Sr. Building Engineer, Utilities

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

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 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

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