Senior Manager, PDS BI&T Architecture & Components

About the role

This senior individual-contributor role will architect and build the shared, full-stack platform that powers analytics, digital products, and digital workers across PDS. The role focuses on distributed, multi-service systems that combine an orchestration layer, autonomous agents, shared services, and a federated frontend into a single internal platform-as-a-service — treated as reusable foundations rather than one-off use cases.

Responsibilities

• Platform & Multi-Service System Architecture
  • Arcitect distributed, multi-service platforms that orchestrate work across autonomous services and agents, with conditional routing, parallel execution, and error recovery.
  • Design the platform as an internal SaaS/PaaS shared SDKs, service contracts, and reusable components that solution teams consume rather than rebuild.
  • Create reusable node/component libraries and extensible platform patterns supporting multiple business domains.
• Backend Development & API Design
  • Build production FastAPI (or similar) applications with async I/O patterns for persistence and external services.
  • Implement Server-Sent Events (SSE) and WebSocket protocols for real-time streaming responses.
  • Design APIs and event-driven architectures for orchestration and service-to-service communication.
  • Develop robust error handling, graceful degradation, and enterprise security integration (SSO, access control), deploying containerized services via CI/CD.
• Frontend & Unified Experience
  • Build modern web frontends (e.g., React) and design micro-frontend / Module Federation composition so independently built modules form one coherent experience.
  • Develop and steward a shared component library and design system used across the platform.
  • Design AI-enhanced UI patterns for streaming responses, chat, and analytical/canvas visualization.
• LLM Integration, Orchestration & Tool Calling
  • Integrate cloud LLM providers (AWS Bedrock or comparable) into platform services.
  • Design prompt management with versioning, templating, and dynamic compilation.
  • Implement conversation/state persistence (e.g., Redis checkpointing) for multi-turn workflows.
  • Build standardized tool-calling that connects agents and external clients to data sources and services, with the Model Context Protocol as the primary integration surface.
• Reusability, Observability & Optimization
  • Treat internal developers as customers provide golden-path templates, clear contracts, and documentation that accelerate delivery.
  • Define standards for versioning, contracts, and backward compatibility across the component ecosystem.
  • Integrate observability and tracing; build monitoring for performance, latency, cost, and quality, and optimize resource and token usage across production workflows.
• Cross-Functional Collaboration
  • Partner with cloud, AI, data, and UX engineers on the team to integrate full-stack work with infrastructure, agentic capabilities, and interaction design.
  • Partner with Enterprise engineering and governance teams to align standards, controls, and shared services.
  • Provide technical mentorship on solution patterns, system design, and platform best practices, and contribute to architecture reviews and documentation.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or a related field.
• 6+ years of software engineering experience with deep full-stack delivery, including production experience building LLM-powered or agentic applications.
• Strong Python, including async patterns (asyncio, async/await) and Python-based automation.
• Production experience with async web frameworks (FastAPI or similar), REST, and event-driven / streaming architectures (WebSocket/SSE, queues, streams).
• Strong working knowledge of modern web frontends (React) and micro-frontend / Module Federation composition; deep frontend and design-system expertise a strong plus.
• Experience designing distributed, multi-service systems with well-defined contracts between components, and building an internal platform, SaaS/PaaS, or shared developer platform.
• Experience with agentic orchestration frameworks (LangGraph preferred; LangChain, CrewAI, Autogen, or similar) and integration with cloud LLM providers (AWS Bedrock, Azure OpenAI, Anthropic, or OpenAI), including onboarding and standardizing these frameworks for solution teams.
• Strong platform and cloud depth Docker and Kubernetes / Amazon EKS, infrastructure-as-code (CloudFormation), Git and CI/CD, service mesh, policy-as-code (OPA/Gatekeeper), and production observability (e.g., Prometheus, Grafana, Loki) on AWS (Azure and/or GCP a plus).
• Experience owning platform governance, security, and self-service onboarding for a shared platform — IAM/SSO, group-based authorization, and policy-as-code — acting as a technical gatekeeper for the teams that consume it.
• Critical Platform & Agentic Systems Experience
  • Built autonomous, multi-step systems performing analytical tasks beyond simple chatbots.
  • Designed distributed platforms with service orchestration, conditional logic, and state management.
  • Developed and hosted production MCP servers with demonstrated adoption across capabilities.
  • Delivered dual-intent solutions where the same services power both a web experience and an LLM/desktop client via MCP.
  • Implemented standardized tool-calling for external system integration.
  • Designed shared SDKs/contracts and managed API/contract evolution across many consumers.
  • Prompt engineering at scale (templating, versioning, optimization) and understanding of agentic design patterns (ReAct, Plan-and-Execute, tool-use agents).
• Strong problem-solving, communication, and ability to set technical direction and influence in globally distributed teams.

Qualifications

• Prior experience in global life sciences, pharma, or supply chain — especially in Product Development & Supply (PDS).
• Experience in regulated environments (GxP, GDPR, PII) and embedding compliance into platform design.
• Experience scaling an internal platform across multiple product/domain teams and managing the resulting contract and dependency surface.
• Experience working internationally with globally dispersed teams.

Desired Experience

• Excellent communication skills and the ability to influence technical decisions without direct authority.
• Hands-on experience implementing Agentic AI solutions and/or MCP is preferred.
• Relevant cloud certification (e.g., AWS) is a plus.

Benefits

• Health Coverage Medical, pharmacy, dental, and vision care.
• Wellbeing Support Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
• Financial Well-being and Protection 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
• Work-life Benefits Include Paid Time Off.