Senior Principal Agentic Engineer
Eli Lilly and Company2 months ago
Hyderābād, IndiaStaff+
Responsibilities
- Architect and build the agentic resolution platform from intake and classification through action execution, verification, and human-in-the-loop fallback.
- Develop agent runtimes and orchestration capabilities involving state, memory, tool integration, multi-agent coordination, and confidence-based handoffs.
- Design production LLM patterns including prompt engineering, retrieval-augmented generation, structured outputs, multi-model routing, hybrid retrieval, and evaluation frameworks.
- Architect and operate Kubernetes-based cloud-native infrastructure, write production platform services and tooling, and maintain Terraform-based infrastructure as code.
- Build CI/CD, observability, reliability, SLO, SLI, security, and developer-experience capabilities for platform and agentic systems.
- Set engineering standards, conduct architectural reviews, mentor senior engineers, and partner with reliability teams and senior architects.
Requirements
- 12+ years of progressive technology experience with hands-on architecture and delivery of automation, AIOps, agentic systems, or cloud-native platforms at enterprise scale.
- Demonstrated ownership of measurable production deflection or operational-toil-reduction outcomes.
- Deep experience with agent runtimes, multi-agent orchestration, tool integration, memory, state management, and at least one of LangGraph, LangChain, LlamaIndex, or MCP.
- Production experience with prompt engineering, retrieval-augmented generation, structured outputs, and multi-model routing.
- Deep cloud-native experience with Kubernetes at scale, container workloads, Terraform, and at least one major cloud AI stack.
- Expert-level Python experience for production services; Go experience is welcome.
- Strong CI/CD, model and agent deployment, versioning, canary or blue-green rollout, evaluation gate, and rollback experience.
- Experience with AI observability using metrics, logs, traces, and agent-decision telemetry, including Prometheus, Grafana, OpenTelemetry, and an enterprise observability platform.
- Experience with evaluation, guardrails, drift detection, human-in-the-loop verification, feedback loops, security controls, and regulated environments.
- Bachelor’s degree or higher in Computer Science, Information Technology, or a closely related field.
- Preferred qualifications include operational ML, AI observability tooling, ServiceNow and Microsoft Teams integrations, vector databases, internal developer platforms, REST/gRPC APIs, databases, message queues, distributed systems, policy-as-code, FinOps, regulated industries, capability building, and React or TypeScript.
Benefits
- Onsite work in Hyderabad with flexible hours and different shifts to support global delivery partners.
- Some weekend and holiday work may be required for continuous operations, with applicable benefit adjustments for non-standard hours.
- Disability accommodations and equal-opportunity employment support are available.
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.