Senior AI Engineer

Bristol Myers Squibb

Hybrid

Quick summary

Work type: Hybrid
Location: Brisbane, CASeattle, WAPrinceton, NJ
Salary: $151,280–$183,319 / yr
Posted: 4 days ago
Closes: Jul 6, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k

This role $167k

$139k most similar roles pay here $262k

This role pays less than 76% of similar roles. Most pay $167,550–$246,150 — the shaded band above. At the midpoint, this role pays about $167k versus about $207k 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 31 open roles on FindRole.

Listed pay typically runs $137,530–$166,654 across 31 roles with salary data.

Most-posted roles

View all roles at Bristol Myers Squibb

At a glance

TL;DR · Senior AI Engineer

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As a Senior AI Engineer at Bristol Myers Squibb’s AI Venture Studio Hub in Princeton, NJ, you will be a key technical leader responsible for designing and building cloud-native GenAI platforms and reference implementations that accelerate the delivery of 12-week Accelerator projects across various business units. Your day-to-day involves creating reusable components and best practices to enhance project velocity and quality while providing mentorship and technical guidance to pod teams. You will leverage Python, AWS, Azure OpenAI, and AWS Bedrock to develop scalable solutions, ensuring alignment with enterprise architecture standards and responsible AI principles. This role demands expertise in MCP, context engineering, multi-modal GenAI inputs, vector databases, and DevOps practices, making you a pivotal figure in advancing the company’s AI initiatives at scale.

Skills

Python AWS Azure OpenAI AWS Bedrock GitHub MCP context engineering vector databases Terraform CloudFormation Databricks MLOps DevOps agile CI/CD

What you'll do

Design and maintain shared GenAI architectures and reusable components for Accelerator projects.
Develop reference implementations to accelerate setup and delivery of 12-week Accelerator projects.
Provide technical coaching, design reviews, and architecture guidance to pod engineers.
Embed temporarily with pods to solve complex technical problems and improve solution quality.
Promote responsible AI practices and help prepare proofs of concept for enterprise-wide adoption.

What we're looking for

3+ years of experience in software engineering or data science with increasing responsibility.
Proven track record designing and delivering GenAI applications and reusable platforms.
Deep expertise in Python and strong experience with MCP, context engineering, multi-modal GenAI inputs, and vector databases.
Deep experience with AWS; familiarity with Azure and/or GCP is beneficial.
Practical experience with Azure OpenAI and AWS Bedrock.
Effective use of coding agents and comfort with GitHub and DevOps practices.
Strong communication skills for technical and non-technical stakeholders.

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