Senior Principal Agentic Engineer
Eli Lilly and Company1 day ago
Indianapolis, IN, USAStaff+
Base Salary
$129k - $231k/yr
Responsibilities
- Architect and build the agentic resolution platform, including intake, classification, action execution, verification, human-in-the-loop fallback, agent state, memory, tools, and multi-agent orchestration.
- Develop production LLM application patterns involving prompt engineering, retrieval-augmented generation, structured outputs, multi-model routing, hybrid retrieval, knowledge bases, evaluation, drift detection, and feedback loops.
- Architect and operate Kubernetes-based container and serverless workloads, write Python or Go platform services, automate provisioning and deployment, and maintain Terraform infrastructure as code.
- Build CI/CD pipelines for model and agent versioning, canary or blue-green deployments, evaluation gates, and rollback.
- Own observability, SLOs, SLIs, reliability standards, agent-decision telemetry, model-inference metrics, self-service patterns, and golden-path developer templates.
- Implement security controls including network policies, pod security, secrets rotation, vulnerability scanning, access controls, policy-as-code, and automated compliance checks.
- Partner with reliability engineers and architects, establish engineering standards, conduct architectural reviews, mentor engineers, and drive measurable deflection and toil-reduction outcomes.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related technical engineering discipline.
- At least 7 years of progressive technology experience with hands-on architecture and delivery of automation, AIOps, agentic systems, or cloud-native platforms at enterprise scale.
- Production experience designing, building, and deploying agentic AI solutions, including agent runtimes, multi-agent orchestration, tool integration, and memory or state management using a framework such as LangGraph, LangChain, LlamaIndex, or MCP.
- Production experience with prompt engineering, retrieval-augmented generation, structured outputs, and multi-model routing.
- Experience with Kubernetes, EKS or equivalent, containerized workloads, Terraform, and AI services on AWS, Azure, or Google Cloud.
- Hands-on Python development including asynchronous programming, packaging, and performance optimization; Go experience is a plus.
- Strong CI/CD experience for AI and agentic workloads, including deployment, versioning, canary or blue-green strategies, evaluation gates, and rollback.
- Experience implementing AI evaluation, guardrail, drift-detection, human-verification, and feedback-loop frameworks in production.
- Experience implementing cloud-native security controls in regulated environments.
- Working knowledge of operational ML, AI observability, ServiceNow integration, chat-based intake platforms, vector databases, hybrid retrieval, internal developer platforms, backend APIs, databases, message queues, distributed systems, policy-as-code, FinOps, and cloud cost governance.
- Experience with Prometheus, Grafana, OpenTelemetry, and an enterprise observability platform such as Splunk, Datadog, or Dynatrace.
- Experience operating in highly regulated industries and demonstrating measurable operational-toil reduction is preferred; frontend experience with React and TypeScript is also useful.
Benefits
- Full-time employees are eligible for a company bonus based partly on company and individual performance.
- Benefits may include a 401(k), pension, vacation, medical, dental, vision, prescription drug, flexible spending, life insurance, leave, well-being, fitness, employee assistance, and employee club benefits.
- The role may require flexible or non-standard work hours, including some weekends and holidays, to support continuous operations.
- The anticipated base wage is $129,000 - $231,000.
Tech Stack
Categories
About Eli Lilly and Company
Eli Lilly and Company researches, develops, manufactures, and markets prescription medicines and biologics for patients, sold through healthcare providers, pharmacies, and payers. Core therapeutic areas include diabetes, oncology, immunology, neuroscience, and obesity. Founded in 1876 and headquartered in Indianapolis, it is a public company (NYSE: LLY) with global operations and is building a new advanced manufacturing site for gene therapy and other modalities in Lebanon, Indiana.