Systems Engineer - Field Solutions, Lilly USA Tech@Lilly

Lilly • Indianapolis, IN

22h • $66,000 - $158,400 • Onsite

About The Position

Lilly USA Tech@Lilly is seeking a curious, hands-on Systems Engineer for its US field solutions team. The role designs, builds, integrates, releases, and operates sales applications used by field teams, with the Field-Facing AI Assistant as the primary focus. It is an AI-first position: the engineer will build AI-powered products for field users and use AI tools throughout engineering work. The role owns solutions end to end, from understanding business needs and shaping technical designs through implementation, integration, release in a regulated environment, and production support.

The engineer partners with product owners, architects, platform and data teams, vendors, and business partners across Lilly USA. The role is based on-site at Lilly Technology Center - South in Indianapolis, Indiana. It offers growth toward senior engineering and architecture leadership, including ownership of solutions, cross-system design, technical direction, and influence over architecture across the field solutions portfolio.

The team builds LLM-powered features and agents, connects them with enterprise systems, and operates them responsibly under Lilly AI governance and regulated-environment standards. Technologies cited as examples include Claude on Amazon Bedrock, Azure OpenAI, LangGraph, Databricks Mosaic AI, Databricks Vector Search, MCP, A2A, MLflow, and LangSmith, with comparable technologies also welcome. The role also identifies and prototypes opportunities for AI and automation to reduce manual work and improve the field experience.

Requirements

• Bachelor's degree in computer science, information technology, or a related technical field.
• At least 2 years of experience in information technology or software engineering.
• At least 1 year of hands-on experience building and operating data and application workloads on Databricks or a similar analytics platform, such as notebooks, jobs, Delta Lake, SQL, and Python/PySpark.
• Must be legally authorized to work in the United States; Lilly does not anticipate providing employment visa sponsorship for this position.

Nice To Haves

• Hands-on experience building front-end applications in React with TypeScript or JavaScript.
• Experience building or integrating generative AI or LLM-based solutions and familiarity with agentic AI concepts.
• Experience building or integrating APIs and working with relational or NoSQL databases.
• Experience delivering technology solutions and integrations through the full lifecycle, from design through production support.
• Working knowledge of cloud platforms such as AWS or Azure.
• Experience with CI/CD pipelines, automated testing, and version control such as Git.
• Strong communication, collaboration, and problem-solving skills, including explaining technical trade-offs to non-technical partners.
• Experience with sales or field-facing applications in pharmaceutical or life sciences.
• Experience in a regulated industry, including GxP-validated or SOX-relevant systems and formal change control.
• Production experience with GenAI or LLM-powered features, including retrieval-augmented generation, evaluation and guardrails, and agentic patterns such as MCP, A2A, or LangGraph.
• Experience with infrastructure-as-code such as Terraform or CloudFormation and container-based development such as Docker or Kubernetes.
• Familiarity with identity and access management, SSO and federation, and API management or gateway tooling.
• Deeper Databricks experience, such as Unity Catalog, Model Serving, Databricks Apps, or Mosaic AI, and experience with event-driven or batch data pipelines.
• Experience working with global teams and offshore delivery models across time zones.
• Agile or product-team delivery experience; relevant cloud, AI, or architecture certification, such as AWS Solutions Architect, AWS AI Practitioner, or Azure equivalent.
• Demonstrated ownership of solution architecture across multiple systems and experience providing technical direction and mentorship to other engineers.

Responsibilities

• Design, build, and maintain the Field-Facing AI Assistant, other sales-facing applications, and integrations connecting them to data and enterprise platforms.
• Translate business and functional requirements from field, sales operations, and product partners into scalable, secure, and supportable technical designs.
• Develop and maintain APIs, data flows, and integration patterns for interoperability with the broader Lilly USA technology ecosystem.
• Own release readiness in a regulated environment, including automated testing, CI/CD pipelines, environment management, change control, and validation documentation where required.
• Maintain production health through monitoring, alerting, root cause analysis, and support readiness, and reduce incidents and manual effort.
• Build and ship AI capabilities for field users, including LLM-powered features, retrieval pipelines, and reusable agents.
• Participate in technical and architecture reviews, raise risks and dependencies early, and help set engineering standards for the field solutions team.
• Partner with vendors and offshore delivery teams, reviewing their work for quality and alignment with Lilly standards.
• Maintain technical documentation, including solution designs, integration specifications, and runbooks.
• Lead solution design across multiple systems, provide day-to-day technical direction and mentorship, and influence architecture and platform strategy for Lilly USA field solutions.
• Use AI engineering tools for development, test generation, debugging, and documentation; identify and prototype opportunities for AI agents and automation.

Benefits

• Company bonus, depending in part on company and individual performance.
• Eligibility to participate in a company-sponsored 401(k).
• Pension.
• Vacation benefits.
• Eligibility for medical, dental, vision, and prescription drug benefits.
• Flexible benefits, including healthcare and/or dependent day care flexible spending accounts.
• Life insurance and death benefits.
• Certain time off and leave of absence benefits.
• Well-being benefits, including an employee assistance program, fitness benefits, and employee clubs and activities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level