This role pays less than
56%
of similar roles. Most pay
$149,350–$199,562
— the shaded band above.
At the midpoint, this role pays about
$167k
versus about
$174k
for comparable roles.
Based on 240 similar postings.
Employer
About Bristol Myers Squibb
Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients.
Bristol Myers Squibb currently has
36 open roles
on FindRole.
Listed pay typically runs
$127,740–$159,351
across 30 roles with salary data.
Senior AI Application Engineer
As a Senior individual contributor within the AI Venture Studio delivery team, you will build secure cloud-hosted applications, including agentic AI products and cross-functional knowledge infrastructure. You will design APIs, service patterns, deployment pipelines, and semantic layers to enable rapid development while maintaining reliability and security. Your daily work involves developing Python/FastAPI or TypeScript/Node services that integrate LLM APIs, retrieval systems, and workflow engines. You will utilize an AWS-first environment featuring tools like LangGraph, FastMCP, OpenSearch, Amazon S3 Vectors, Amazon Neptune, PostgreSQL/RDS, and Redis. The role addresses pharmaceutical challenges by extracting critical context from unstructured knowledge files, multimodal documents, and scientific evidence packages. You will manage the full lifecycle of agentic workflows, ensuring robust infrastructure for R&D and manufacturing processes where complex data must be transformed into governed, actionable information.
Build and operate backend services, APIs, and application components using Python/FastAPI or TypeScript/Node to power AI products.
Develop agentic workflows and multi-agent orchestrations using frameworks like LangGraph to automate complex processes.
Create MCP-accessible services and tools that allow agents to interact with structured knowledge assets and enterprise data.
Implement retrieval, memory, and context services using AWS-native databases such as OpenSearch, PostgreSQL, and Amazon Neptune.
Design and maintain CI/CD pipelines, infrastructure-as-code, and automated testing for cloud-hosted AI applications.
Build sandboxed execution environments to ensure secure code execution, data provenance, and auditability for agentic workflows.
Monitor application performance, cost, and model behavior using observability tools like LangSmith.
Provide technical leadership through code reviews, architecture design, and coaching for cross-functional engineering teams.
What we're looking for
Bachelor's or higher degree in Computer Science, Engineering, Science, or a related field.
5+ years of experience in software engineering, cloud engineering, platform engineering, or backend application development with increasing responsibility.
Hands-on experience building cloud-native applications on AWS using services like S3, RDS, Fargate, and Lambda.
Strong proficiency in Python, FastAPI, TypeScript/Node, or comparable backend application frameworks.
Experience with containers, CI/CD pipelines, GitHub workflows, and infrastructure-as-code tools like Terraform or AWS CDK.
Experience building LLM, RAG, or agentic AI applications using frameworks such as LangGraph, LangChain, or PydanticAI.
Familiarity with MCP/FastMCP, vector databases, knowledge graphs, and structured output validation gates.
Experience integrating with model providers like OpenAI, Anthropic, Gemini, or AWS Bedrock through enterprise AI services.
Go
AI
SaaS
RESTful APIs
Microservices
SQL Server
PostgreSQL
CI/CD
Kubernetes
Docker
Terraform
Linux
MLOps
Vector Databases
Retrieval-Augmented Generation
Distributed Systems
NoSQL