Sr. Principal Engineer AI/ML System Integration
Eli Lilly and CompanyMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro location and broad skillset increase competition, but senior, niche ML integration reduces density.
Requires deep ML/AI and enterprise integration expertise with regulatory considerations, limiting transferability.
Explicit 8+ years, mandatory ML/LLM, cloud and enterprise architecture requirements make shortlisting highly strict.
Job Description
Structured overview of role & requirementsAbout This Role
Lead architecture and integration strategy for AI/ML-enabled enterprise applications, platforms, and data ecosystems.
Design and implement secure, scalable, and observable AI solutions integrating APIs, data, ML models including LLMs, agents, and workflows.
Provide technical leadership through architecture reviews, mentoring, and collaboration with product, engineering, security, and business stakeholders.
Minimum Requirements
8+ years in software engineering, solution architecture, systems integration, or platform engineering.
Experience delivering complex enterprise solutions integrating systems, platforms, and data sources.
Strong knowledge of cloud-native architecture, APIs, microservices, event-driven systems, AI/ML including LLMs and RAG, and cloud platforms like Azure, AWS, or GCP.
Work Experience Required: 8+ years
Ideal Candidate Profile
Expert in enterprise AI/ML integration architecture with hands-on experience in LLMs, agentic workflows, and AI platform services.
Capable of steering technical governance, architecture standards, and operational excellence in large cross-functional settings.
Experienced in cloud platform engineering with strong stakeholder management and technical leadership in regulated or enterprise environments.