Senior AI Engineer
Bristol Myers Squibb
July 03, 2026
Remote friendly (Brisbane, CA)
United States
IT
Position Summary
Senior AI Engineer (AI Venture Studio Hub) building shared patterns, templates, components, and best practices powering AI Accelerator projects across Commercialization, R&D, Manufacturing, and Enabling Functions. Hands-on work in technical architecture, system/solution design, and cloud-native GenAI platforms and reference implementations. Create reusable GenAI building blocks and delivery patterns; may support pod teams on complex technical challenges. Promote responsible AI practices and prepare proofs of concept for enterprise-wide adoption. Provide technical direction, influence, and mentorship.
Key Responsibilities
- Design, build, and maintain shared GenAI architectures, templates, and reusable components.
- Apply standards/best practices for LLM apps, context engineering, MCP servers, agentic systems, and multi-modal solutions.
- Develop reference implementations, starter kits, and infrastructure patterns for 12-week Accelerator projects.
- Refine patterns based on pod feedback and advances in AI/ML services.
- Partner with Pod Leads; embed with pods to solve complex problems, spike capabilities, or backfill skills.
- Provide technical coaching, design reviews, architecture guidance; troubleshoot and do root-cause analysis for POCs/production-adjacent issues.
- Collaborate cross-functionally; help align POCs with enterprise architecture, security, and operational standards; embed responsible AI safety/evaluation/guardrails.
Qualifications & Skills
- Bachelor’s degree in Engineering/Science/Business or related.
- 3+ years in software engineering, data science, AI, or related.
- Proven experience delivering GenAI and software; building reusable platforms/libraries/components.
- Deep Python expertise.
- Strong MCP, context engineering, multi-modal GenAI inputs, and vector databases.
- Deep AWS experience; Azure and/or GCP plus.
- Practical Azure OpenAI and AWS Bedrock experience.
- Experience with coding agents (e.g., Claude Code, Codex, Gemini CLI).
- GitHub and DevOps practices.
- Plus: Databricks; Terraform/CloudFormation; MLOps; app observability; agile ways of working.
- Strong written/verbal communication.
Compensation/Benefits (explicit)
- Compensation ranges (FTE): Brisbane/Seattle $151,280–$183,319; Princeton $137,530–$166,654.
- Benefits include medical/pharmacy/dental/vision, EAP/wellbeing, and 401(k), disability, life insurance, and other protections; Paid Time Off (flexible time off or vacation depending on location/role).
Application instruction
- If the role doesn’t perfectly match your resume, apply anyway.
Senior AI Engineer (AI Venture Studio Hub) building shared patterns, templates, components, and best practices powering AI Accelerator projects across Commercialization, R&D, Manufacturing, and Enabling Functions. Hands-on work in technical architecture, system/solution design, and cloud-native GenAI platforms and reference implementations. Create reusable GenAI building blocks and delivery patterns; may support pod teams on complex technical challenges. Promote responsible AI practices and prepare proofs of concept for enterprise-wide adoption. Provide technical direction, influence, and mentorship.
Key Responsibilities
- Design, build, and maintain shared GenAI architectures, templates, and reusable components.
- Apply standards/best practices for LLM apps, context engineering, MCP servers, agentic systems, and multi-modal solutions.
- Develop reference implementations, starter kits, and infrastructure patterns for 12-week Accelerator projects.
- Refine patterns based on pod feedback and advances in AI/ML services.
- Partner with Pod Leads; embed with pods to solve complex problems, spike capabilities, or backfill skills.
- Provide technical coaching, design reviews, architecture guidance; troubleshoot and do root-cause analysis for POCs/production-adjacent issues.
- Collaborate cross-functionally; help align POCs with enterprise architecture, security, and operational standards; embed responsible AI safety/evaluation/guardrails.
Qualifications & Skills
- Bachelor’s degree in Engineering/Science/Business or related.
- 3+ years in software engineering, data science, AI, or related.
- Proven experience delivering GenAI and software; building reusable platforms/libraries/components.
- Deep Python expertise.
- Strong MCP, context engineering, multi-modal GenAI inputs, and vector databases.
- Deep AWS experience; Azure and/or GCP plus.
- Practical Azure OpenAI and AWS Bedrock experience.
- Experience with coding agents (e.g., Claude Code, Codex, Gemini CLI).
- GitHub and DevOps practices.
- Plus: Databricks; Terraform/CloudFormation; MLOps; app observability; agile ways of working.
- Strong written/verbal communication.
Compensation/Benefits (explicit)
- Compensation ranges (FTE): Brisbane/Seattle $151,280–$183,319; Princeton $137,530–$166,654.
- Benefits include medical/pharmacy/dental/vision, EAP/wellbeing, and 401(k), disability, life insurance, and other protections; Paid Time Off (flexible time off or vacation depending on location/role).
Application instruction
- If the role doesn’t perfectly match your resume, apply anyway.