Systems Engineer - Field Solutions, Lilly USA Tech@Lilly

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us. At Lilly, everything we do starts with patients. We unite caring with discovery to make life better for people around the world. Headquartered in Indianapolis, Indiana, our global team of over 50,000 employees work with urgency and purpose to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. We bring our best to this work because people depend on it. If you're driven by purpose and determined to make a meaningful difference for patients, we invite you to bring your skill and your commitment to Lilly. About Tech@Lilly At Lilly, technology is not a support function. It is how a global medicine company operates, innovates, and delivers. Tech@Lilly builds the capabilities that make this possible: cloud platforms, AI systems, data products, and automation at enterprise scale, all in service of a purpose that makes this technology work distinctive, from advancing drug discovery to enabling connected clinical trials to helping patients gain access to the medicines they need. About the Business Function The Lilly USA Tech@Lilly team is at the forefront of the launch of new medicines, leveraging data and technology to raise awareness and to help patients gain access to medicines. With a deep technical and business understanding, working across all therapeutic areas and disease states, we design and implement digital solutions that power our business while creating best-in-class customer experiences that improve patient outcomes and deliver business results. This role sits within our US field solutions team, which engineers the applications that sales representatives and other field users rely on every day. Our portfolio includes field-facing AI Assistants and the broader set of sales-facing applications that put insights, content, and workflow in the hands of the field. About the Role - Systems Engineer We are looking for a curious, hands-on Systems Engineer to join the Lilly USA field solutions team. This is an AI-first role: you will build AI-powered products for the field and use AI throughout your own engineering work. In this role you will design, build, integrate, and run the sales applications that our field teams depend on, with our Field-Facing AI Assistant as the primary focus. You will own solutions end to end: understanding what the business needs, shaping the technical design, building and integrating it, releasing it in a regulated environment, and keeping it healthy in production. You will work closely with product owners, architects, platform and data teams, vendors, and business partners across Lilly USA. This is an on-site role based at Lilly Technology Center - South in Indianapolis, Indiana. This role has room to grow. You will own solutions, shape cross-system designs, give technical direction to others, and influence architecture across the field solutions portfolio, with the expectation that you develop into a senior engineering and architecture leader for our area. AI-First Engineering: How This Team Works This is an AI-first role on an AI-first team. We build AI products for the field, and we use AI to build them. The tools named below are examples of what we use today; experience with comparable technologies is welcome, and we expect the toolset to keep evolving. - Build AI products: design and ship LLM-powered features and agents for the Field-Facing AI Assistant using foundation models such as Claude on Amazon Bedrock or Azure OpenAI, orchestration frameworks such as LangGraph or the Databricks Mosaic AI Agent Framework, and retrieval patterns such as RAG over Databricks Vector Search, or similar technologies. - Engineer with AI every day: use coding assistants such as Claude Code, GitHub Copilot, or Cursor for development, test generation, debugging, and documentation, and treat prompt engineering and context engineering as core skills. - Connect agents to enterprise systems: build tool and data integrations using standards such as Model Context Protocol (MCP) and agent-to-agent (A2A) patterns, or comparable approaches. - Operate AI responsibly: implement evaluation harnesses, guardrails, observability and tracing (for example MLflow or LangSmith), and prompt and model version management so AI features meet Lilly AI governance and regulated-environment standards. - Find the next opportunity: identify where AI agents and automation remove manual work for field users and the engineering team, prototype quickly, and prove value with data. Why You Should Be Interested in This Role - Visible impact: the applications you build are in the hands of field teams the day a new medicine launches. - Real ownership: you move across design, build, integration, testing, release, and support. You build it, you own it. - Room to grow: the team is investing in the next generation of senior engineers and architects for Lilly USA field solutions, and this role is built with that path in mind. - AI-first ways of working: we build AI products for the field and use AI tools daily to build them faster, and we are actively looking for places where AI agents and automation improve the field experience. - Close partnership: you work directly with business partners, product owners, architects, and platform teams rather than through layers of hand-offs. Key Responsibilities - Design, build, and maintain our Field-Facing AI Assistant and other sales-facing applications and the integrations that connect 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 that make field applications interoperable with the broader Lilly USA technology ecosystem. - Own release readiness for your solutions in a regulated environment: automated testing, CI/CD pipelines, environment management, change control, and validation documentation where required. - Keep production healthy through monitoring, alerting, root cause analysis, and support readiness, and drive improvements that reduce incidents and manual effort. - Build and ship AI capabilities for the field: LLM-powered features, retrieval pipelines, and reusable agents using foundation models and agent frameworks (for example Claude on Amazon Bedrock, Azure OpenAI, LangGraph, or Databricks Mosaic AI, or similar technologies). - 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 to deliver and support solutions, reviewing their work for quality and alignment with Lilly standards. - Maintain clear technical documentation, including solution designs, integration specifications, and runbooks. - Lead solution design across multiple systems, provide day-to-day technical direction and mentorship to other engineers and delivery partners, and influence architecture and platform strategy for Lilly USA field solutions. Basic Qualifications - Bachelor's degree in computer science, information technology, or a related technical field. - 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 similar analytics platform (for example notebooks, jobs, Delta Lake, SQL, and Python/PySpark). - Qualified candidates must be legally authorized to be employed in the United States. Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position. Preferred Qualifications - Hands-on experience building front-end applications in React with TypeScript or JavaScript. - Experience building or integrating generative AI or LLM-based solutions (for example with Claude, OpenAI, or other foundation models) and familiarity with agentic AI concepts. - Experience building or integrating APIs and working with relational and/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 (Git). - Strong communication, collaboration, and problem-solving skills, and the ability to explain 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 work on 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 (for example MCP, A2A, LangGraph, or similar frameworks and standards). - Experience with infrastructure-as-code (Terraform, CloudFormation, or similar) and container-based development (Docker, 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 (for example 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. At Lilly, caring is not only what we do for patients. It is how we work. We believe the people who dedicate themselves to making medicines better deserve an environment that makes their lives better too, one where they are supported, respected, and given the space to do their best work. This is not just a policy. It is who we are. Note: When applying internally for a position your current supervisor receives notification that you have applied to the position. We encourage employees to discuss the opportunity with their supervisor prior to applying. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly 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 (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women’s Initiative for Leading at Lilly (WILL). Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $66,000 - $158,400 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’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly