Lilly
healthcare
AssociateDirector-AIEngineering
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“Associate Director - AI Engineering at Lilly. Skills: AI Engineering, MLOps, GenAI, Agentic AI, Team Leadership, Operational Excellence. Lead AI Engineering & Operations. Build and run production-grade AI systems across the full AI lifecycle”
What You'll Achieve.
drive measurable business impact; improve reliability and reduce operational toil; define and track operational metrics aligned to business outcomes; expand BI&A’s AI engineering outcomes and scale adoption
Industry & Context.
problem management; prevention automation
What They're Looking For.
Must Have
10+ years relevant experience across software/ML engineering, MLOps, or AI, 3+ years leading teams and delivering across multiple stakeholders, hands-on foundation in cloud-native engineering and DevOps/MLOps practices (containers, orchestration, CI/CD, automated testing, release discipline), Experience operationalizing end-to-end ML solutions (training/serving/monitoring) and modern GenAI/agent workflows (evaluation, monitoring, lifecycle management), Proven ability to build scalable operating models, enforce quality standards, and communicate trade-offs with senior stakeholders, communication, collaboration, and people leadership skills
Nice to Have
Experience with LLM/agent observability practices (tracing across prompt → retrieval/tool calls → response) and cost controls for GenAI systems, Experience with policy-as-code / compliance-ready audit logging patterns in enterprise environments, Experience in regulated domains (healthcare/life sciences/finance) operating under audit and compliance constraints
What You'll Do.
Lead AI Engineering & Operations
Build and run production-grade AI systems across the full AI lifecycle
Manage traditional ML engineering/MLOps and agentic AI systems
Partner with stakeholders and IT/platform teams
and compliant AI capabilities
and grow a team of ML/AI engineers and operations
Establish best practices for execution
Collaborate to design optimal end-to-end pipelines and AI product delivery
Build and operationalize reusable capabilities
Enable robust RAG and agentic workflows
Establish lifecycle discipline for AI systems
Implement end-to-end observability for AI services
Drive incident and problem management practices
compliant AI delivery
Implement guardrails and responsible AI practices
Identify capability gaps and build a roadmap
Provide thought leadership and run PoCs
How You'll Work.
Team & Collaboration
Partner closely with onshore BI&A stakeholders and Lilly IT/platform teams; Collaborate with data scientists, software engineers, and infrastructure teams; Deliver across multiple stakeholders
Communication Scope
communication; communicate trade-offs with senior stakeholders
Process & Methodology
planning, project management, technical design reviews, documentation, continuous improvement
Full Job Description
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’re looking for people who are determined to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Lilly India Commercial function BI&A (Business Insights & Analytics) team supports business decisions for the commercial and marketing functions in the US and ex-US affiliates. The team comprises 100+ members across data management, analytics, data science, business, and commercial operations. Role Summary Lilly India Commercial function BI&A is hiring an Associate Director to lead AI Engineering & Operations, responsible for building and running production-grade AI systems across the full AI lifecycle—spanning traditional ML engineering/MLOps and agentic AI systems (LLM/agent workflows, tool use, orchestration). The leader will partner closely with onshore BI&A stakeholders and Lilly IT/platform teams to deliver scalable, reliable, secure, and compliant AI capabilities that drive measurable business impact. Key Responsibilities People & Delivery Leadership • Lead, coach, and grow a high-performing team of ML/AI engineers and operations talent; set clear expectations on engineering quality, reliability, and productivity. • Establish best practices for execution (planning, project management, technical design reviews, documentation, and continuous improvement). • Collaborate with data scientists, software engineers, and infrastructure teams to design optimal end-to-end pipelines and AI product delivery. AI Engineering Platforms & Reusable Capabilities • B
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