BioSpace, Inc.
Senior Principal AI Software Engineer Lilly
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, dedicated to discovering, developing, and delivering life?changing medicines while improving disease understanding and contributing to the community through philanthropy and volunteerism. We put people first and seek individuals determined to make a global impact. What Youll Be Doing
We are seeking an exceptional Senior Principal Engineer to lead the development and deployment of transformative AI solutions across Lillys global enterprise. In this role, you will: Architect autonomous AI systems that enhance safety, quality, and operational efficiency across all business functionsfrom drug discovery and manufacturing to corporate operations in Legal, HR, and Finance. Drive the implementation of cutting?edge agent architectures and establish AI development standards for regulated environments. Build and guide high?performing technical teams while shaping how artificial intelligence revolutionizes pharmaceutical innovation and patient care. Leverage Lillys enterprise AI platform (Lilly Cortex) to design sophisticated agentic systems using Model Context Protocol (MCP), Agent?to?Agent (A2A) communication, and dynamic UI frameworks. Own the technical vision for Studio, Lillys AI business platform, and make architectural decisions that scale from prototype to enterprise. Mentor engineers on modern AI/ML practices, prompt engineering, and agentic patterns to foster a high?trust, high?velocity culture. Create playbooks for CI/CD of AI systems, evaluation frameworks, observability, and compliance patterns for regulated environments. Partner with product, operations, and business teams to identify high?leverage AI opportunities and ship features that move metrics, not just science projects. Stay on the cutting edge by evaluating new models, testing emerging frameworks, and incorporating the latest research into production before it becomes mainstream.
Basic Requirements
Bachelors, Masters or PhD degree in Computer Science, Engineering, or a related field. 8+ years of software engineering experience. 2+ years architecting and deploying production AI systems. Proven success delivering AI solutions in regulated or enterprise?wide environments.
What You Should Bring Core Technical Expertise
AI Development Proficiency: Experience building production applications with AI?powered tools (GitHub Copilot, Cursor, Claude, ChatGPT, Grok). Agent Architecture: Hands?on experience designing and deploying autonomous agent systems, including orchestration patterns, tool selection, and failure handling. System Integration: Expertise with Model Context Protocols, API integrations, and building extensible AI architectures. Modern AI Stack: Proficiency in Python, LangChain/LangGraph, vector databases (Pinecone, Weaviate, ChromaDB), embedding models, and advanced prompt engineering.
Leadership & Communication
Experience leading technical teams through AI transformation initiatives. Ability to communicate complex technical concepts to diverse audiencesfrom engineering deep dives to executive strategy sessions. Track record of mentoring engineers and fostering innovation within teams. Strategic mindset balancing technical excellence with measurable business outcomes.
Infrastructure & MLOps
End?to?end MLOps implementation (model versioning, monitoring, CI/CD for ML). Cloud AI platform expertise (AWS SageMaker, Azure ML, GCP Vertex AI). Container orchestration (Kubernetes) and scalable deployment architectures. AI system observability, performance tuning, and cost optimization.
Senior Level
Mid?Senior level
Employment Type
Full?time
Job Function
Engineering and Information Technology Internet News
Lilly is dedicated to helping individuals with disabilities actively engage in the workforce, ensuring equal opportunities. If you require accommodation to submit a resume, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation). 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. Actual compensation will depend on a candidates education, experience, skills, and geographic location. The anticipated wage for this position is $126,000 $224,400. Full?time employees will also be eligible for a company bonus (depending, in part, on company and individual performance). Additionally, Lilly offers a comprehensive benefits program including 401(k) participation, pension, vacation benefits, medical, dental, vision, prescription drug benefits, flexible spending accounts, life insurance, and more. #WeAreLilly #J-18808-Ljbffr
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, dedicated to discovering, developing, and delivering life?changing medicines while improving disease understanding and contributing to the community through philanthropy and volunteerism. We put people first and seek individuals determined to make a global impact. What Youll Be Doing
We are seeking an exceptional Senior Principal Engineer to lead the development and deployment of transformative AI solutions across Lillys global enterprise. In this role, you will: Architect autonomous AI systems that enhance safety, quality, and operational efficiency across all business functionsfrom drug discovery and manufacturing to corporate operations in Legal, HR, and Finance. Drive the implementation of cutting?edge agent architectures and establish AI development standards for regulated environments. Build and guide high?performing technical teams while shaping how artificial intelligence revolutionizes pharmaceutical innovation and patient care. Leverage Lillys enterprise AI platform (Lilly Cortex) to design sophisticated agentic systems using Model Context Protocol (MCP), Agent?to?Agent (A2A) communication, and dynamic UI frameworks. Own the technical vision for Studio, Lillys AI business platform, and make architectural decisions that scale from prototype to enterprise. Mentor engineers on modern AI/ML practices, prompt engineering, and agentic patterns to foster a high?trust, high?velocity culture. Create playbooks for CI/CD of AI systems, evaluation frameworks, observability, and compliance patterns for regulated environments. Partner with product, operations, and business teams to identify high?leverage AI opportunities and ship features that move metrics, not just science projects. Stay on the cutting edge by evaluating new models, testing emerging frameworks, and incorporating the latest research into production before it becomes mainstream.
Basic Requirements
Bachelors, Masters or PhD degree in Computer Science, Engineering, or a related field. 8+ years of software engineering experience. 2+ years architecting and deploying production AI systems. Proven success delivering AI solutions in regulated or enterprise?wide environments.
What You Should Bring Core Technical Expertise
AI Development Proficiency: Experience building production applications with AI?powered tools (GitHub Copilot, Cursor, Claude, ChatGPT, Grok). Agent Architecture: Hands?on experience designing and deploying autonomous agent systems, including orchestration patterns, tool selection, and failure handling. System Integration: Expertise with Model Context Protocols, API integrations, and building extensible AI architectures. Modern AI Stack: Proficiency in Python, LangChain/LangGraph, vector databases (Pinecone, Weaviate, ChromaDB), embedding models, and advanced prompt engineering.
Leadership & Communication
Experience leading technical teams through AI transformation initiatives. Ability to communicate complex technical concepts to diverse audiencesfrom engineering deep dives to executive strategy sessions. Track record of mentoring engineers and fostering innovation within teams. Strategic mindset balancing technical excellence with measurable business outcomes.
Infrastructure & MLOps
End?to?end MLOps implementation (model versioning, monitoring, CI/CD for ML). Cloud AI platform expertise (AWS SageMaker, Azure ML, GCP Vertex AI). Container orchestration (Kubernetes) and scalable deployment architectures. AI system observability, performance tuning, and cost optimization.
Senior Level
Mid?Senior level
Employment Type
Full?time
Job Function
Engineering and Information Technology Internet News
Lilly is dedicated to helping individuals with disabilities actively engage in the workforce, ensuring equal opportunities. If you require accommodation to submit a resume, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation). 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. Actual compensation will depend on a candidates education, experience, skills, and geographic location. The anticipated wage for this position is $126,000 $224,400. Full?time employees will also be eligible for a company bonus (depending, in part, on company and individual performance). Additionally, Lilly offers a comprehensive benefits program including 401(k) participation, pension, vacation benefits, medical, dental, vision, prescription drug benefits, flexible spending accounts, life insurance, and more. #WeAreLilly #J-18808-Ljbffr