Senior Manager, Architecture & Components

Job description

Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us. The OpportunityAt BMS, we're not just building software — we're building the architectural foundations that will define how a global pharmaceutical organisation harnesses AI through to 2030 and beyond. As a Senior Manager in Software Engineering and Full Stack, you'll be the principal technical force behind a shared, production-grade platform that powers analytics, digital products, and autonomous AI workers across our Product Development & Supply (PDS) organisation. This is a deeply hands-on, senior individual-contributor role. You won't manage people — you'll set the technical bar through architecture, reference implementations, and engineering excellence. Working within our Analytics & AI Enablement Architecture & Components team, you'll sit alongside UI, UX, AI Engineering, and Architecture specialists in a globally distributed, multidisciplinary environment, helping to shape not just what we build, but how the entire organisation builds it. What You'll Do Architect a Multi-Service Platform at Scale Design and build distributed, multi-service platforms that orchestrate work across autonomous services and agents — with conditional routing, parallel execution, and error recovery Treat the platform as an internal SaaS/PaaS: shared SDKs, service contracts, and reusable components that solution teams consume rather than rebuild from scratch Build graph-based orchestration workflows that combine LLM reasoning, business logic, real-time data integration, and enterprise security patterns Create extensible component libraries and platform patterns that serve multiple business domains simultaneously Build Production-Grade Backend Systems Develop 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 Build robust error handling, graceful degradation, and enterprise security integration (SSO, access control), deploying containerised services via CI/CD Lead Frontend Architecture & Unified Experience Build modern web frontends (React) and architect micro-frontend and Module Federation compositions so independently developed modules form one seamless, coherent experience Develop and steward a shared component library and design system used across the entire platform Design AI-enhanced UI patterns for streaming responses, conversational interfaces, and analytical visualisation Make MCP a First-Class Platform Capability Design, build, and host production MCP servers that expose platform services and tools — ensuring the same underlying capabilities power both the web UI and Claude Desktop with no divergence between the two Define golden-path patterns, shared MCP servers, and reusable templates so solution teams can ship dual-intent solutions rapidly Establish MCP hosting, versioning, security, and operational standards for enterprise-grade integration Integrate and Orchestrate LLMs at Scale Integrate cloud LLM providers (AWS Bedrock or comparable) into platform services Design prompt management with versioning, templating, and dynamic compilation Implement conversation and state persistence (e.g., Redis checkpointing) for multi-turn agentic workflows Build standardised tool-calling that connects agents and external clients to data sources, with the Model Context Protocol as the primary integration surface Drive Reusability, Observability & Optimisation Treat internal developers as customers — deliver golden-path templates, clear contracts, and documentation that accelerate delivery across the organisation Define versioning, contracts, and backward compatibility standards across the component ecosystem Build observability, tracing, and monitoring for performance, latency, cost, and quality — and continuously optimise resource and token usage across production workflows Collaborate and Mentor Across the Organisation Partner with cloud, AI, data, and UX engineers to integrate full-stack work with infrastructure, agentic capabilities, and interaction design Align with Enterprise engineering and governance teams on shared standards and controls Provide technical mentorship on system design, solution patterns, and platform best practices — and contribute to architecture reviews and documentation What You'll Bring Education Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or a related field Experience — Required 6+ years of software engineering experience with deep full-stack delivery, including production experience building LLM-powered or agentic applications Strong Python expertise, including async patterns (asyncio, async/await) and Python-based automation Production experience with async web frameworks (FastAPI or similar), REST, and event-driven and streaming architectures (WebSocket/SSE, queues, streams) Strong working knowledge of modern web frontends (React) and micro-frontend/Module Federation composition Demonstrated experience designing distributed, multi-service systems and building an internal platform, SaaS/PaaS, or shared developer platform Experience with agentic orchestration frameworks (LangGraph preferred; LangChain, CrewAI, Autogen or similar) and cloud LLM providers (AWS Bedrock, Azure OpenAI, Anthropic, or OpenAI) Strong platform and cloud depth: Docker, Kubernetes/Amazon EKS, infrastructure-as-code (CloudFormation), Git and CI/CD, service mesh, policy-as-code (OPA/Gatekeeper), and production observability (Prometheus, Grafana, Loki) on AWS Experience owning platform governance, security, and self-service onboarding — IAM/SSO, group-based authorisation, and policy-as-code Critical Platform & Agentic Systems Experience Built autonomous, multi-step systems that perform complex analytical tasks well 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 Designed shared SDKs and contracts and managed API evolution across many consumers Prompt engineering at scale — templating, versioning, optimisation — and a strong understanding of agentic design patterns (ReAct, Plan-and-Execute, tool-use agents) Skills & Competencies Excellent communication and the ability to set technical direction and influence decisions without direct authority Strong problem-solving capability in globally distributed, cross-functional teams Hands-on experience implementing Agentic AI solutions and/or MCP Relevant cloud certification (e.g., AWS) is a plus Advantageous Experience Prior experience in global life sciences, pharma, or supply chain — particularly within Product Development & Supply Experience in regulated environments (GxP, GDPR, PII) and embedding compliance into platform design from the outset Experience scaling