Senior AI Platform Engineer — Cloud-Native & LLM

Bristol Myers Squibb; Seattle (WA); On-site; USD 151,000 - 183,000; Full time

Benefits offered by this job

Comprehensive benefits

Flexible work model

Job summary

Bristol Myers Squibb is seeking a Senior AI Application Engineer to join the AI Venture Studio delivery team in Seattle, WA. You will build secure cloud‑hosted applications and agentic AI products, designing APIs, services, and deployment pipelines that balance reliability, observability, and enterprise security.

The role operates in six two‑week sprints within a 12‑week cycle, leveraging AWS native patterns and tools like LangGraph, OpenSearch, and S3.

Qualifications

• Bachelor's degree in CS/Engineering/Science or related field.
• 5+ years of software engineering, cloud, or backend development.
• Hands-on AWS experience with S3, RDS, OpenSearch, and container tools.
• Proficiency in Python, FastAPI, and TypeScript/Node; API design.

Responsibilities

• Design, build, and operate backend services, APIs, and components powering AI products.
• Develop Python/FastAPI and TypeScript/Node services integrating LLM APIs and retrieval systems.
• Execute six two‑week sprints within a 12‑week cycle to deliver MVP increments.
• Develop MCP/FastMCP read‑write‑search APIs and governed knowledge stores.
• Implement secure authn/authz and enterprise security patterns across services.
• Collaborate with frontend engineers to define API contracts and UX flows.

Skills

Python

FastAPI

TypeScript/Node

AWS

API Design

CI/CD

LangGraph

OpenSearch

Education

Bachelor's degree in Computer Science/Engineering/Science

Tools

S3

RDS/PostgreSQL

OpenSearch

Fargate

Lambda

Terraform

GitHub

Job description

Bristol Myers Squibb is seeking a Senior AI Application Engineer to join the AI Venture Studio delivery team in Seattle, WA. You will build secure cloud‑hosted applications and agentic AI products, designing APIs, services, and deployment pipelines that balance reliability, observability, and enterprise security.

The role operates in six two‑week sprints within a 12‑week cycle, leveraging AWS native patterns and tools like LangGraph, OpenSearch, and S3.