Senior Manager, PDS BI&T Architecture & Components

New Brunswick, NJ · full time · Senior

$134,980 – $163,564

Listed on Bristol Myers Squibb’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

This role architects and builds full-stack platforms for analytics and AI-driven automation across a pharmaceutical company's product development organization. It suits experienced engineers comfortable designing distributed systems, integrating large language models, and setting technical standards for teams consuming shared platform services.

Our summary, not Bristol Myers Squibb’s wording. The full posting is on their site.

Skills this role names

What they ask for

Required

Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or related field
6+ years of software engineering experience with full-stack delivery
Production experience building LLM-powered or agentic applications
Strong Python including async patterns
Production experience with FastAPI or similar async web frameworks
Modern web frontend experience with React and Module Federation
Distributed multi-service systems design with well-defined component contracts
Experience building internal platforms, SaaS/PaaS, or shared developer platforms
Agentic orchestration framework experience (LangGraph, LangChain, CrewAI, Autogen, or similar)
Cloud LLM provider integration experience (AWS Bedrock, Azure OpenAI, Anthropic, or OpenAI)
Docker and Kubernetes/Amazon EKS proficiency
Infrastructure-as-code experience (CloudFormation)
Service mesh experience
Policy-as-code experience (OPA/Gatekeeper)
Production observability tools experience (Prometheus, Grafana, Loki)
Platform governance and security ownership experience
IAM/SSO and group-based authorization experience
Built autonomous multi-step analytical systems beyond chatbots
Designed distributed platforms with service orchestration and state management
Developed and hosted production MCP servers
Delivered dual-intent solutions for web and LLM/desktop clients via MCP
Implemented standardized tool-calling for external system integration
Designed shared SDKs and managed API contract evolution across consumers
Prompt engineering at scale with versioning and optimization
Understanding of agentic design patterns (ReAct, Plan-and-Execute, tool-use agents)
Strong problem-solving and communication skills
Ability to set technical direction and influence in globally distributed teams

Nice to have

Prior experience in global life sciences, pharma, or supply chain, especially Product Development & Supply
Experience in regulated environments (GxP, GDPR, PII) and embedding compliance into platform design
Experience scaling an internal platform across multiple product and domain teams
Experience working internationally with globally dispersed teams
Hands-on implementation of Agentic AI solutions or MCP
Relevant cloud certification (e.g., AWS)
Azure and/or GCP experience