AI Engineer

Posted Nov 2, 2026 by Foundation Medicine · open on Oracle Cloud as of Nov 6, 2026

$111,040–$138,800 + equityBoston, MAHybrid

Builds and operates secure, governed enterprise AI platforms, applications, and agentic workflows, including production LLM and retrieval-based solutions.

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At a glance

Posted base pay

$111K–$139KBelow the median

Midpoint $125K · median $150K

Median $150K

This job$111K–$139KMid-level FDE postings105 postings · middle 50% of posted pay$122K–$162K

The work

Builds for teams inside the company

Balance Mostly building

Project stages

Pre-sales (not covered)
Proof of concept (not covered)
Implementation
Operations

Coding: Writes production code
Builds for: Internal teams
Level: Mid
Role: Individual contributor

What they ask for

Experience

2+ yearsDesigning, building, and operating production software platforms or cloud solutions on Azure and/or AWS
2+ yearsDeveloping and supporting LLM-powered applications in production environments

Background

Software engineering

Do you meet what the posting states?

The posting asks for 2+ years. How many do you have?

The posting reads as a mid-level role. What level are you at now?

The job is in Boston, MA. Could you work there?

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Conditions

Location: Boston, MA
Work arrangement: Hybrid
Remote work restrictions: Hybrid; primary location Boston, MA
Pay: Pay details
The expected salary range for this position based on the primary location of Boston, MA is $111,040 - $138,800 per year. The salary range is commensurate with Foundation Medicine’s compensation practice and considers factors including, but not limited to, education, training, experience, external market conditions, criticality of role, and internal equity. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for Foundation Medicine's benefits.

What you’ll do

Design and operate enterprise AI platforms, services, integrations, and governance capabilities.
Build and deploy secure AI applications, copilots, agent workflows, and RAG solutions.
Implement identity, access, auditing, data protection, and compliance controls.
Establish evaluation, monitoring, testing, and production reliability practices.

What you’ll bring

Bachelor's degree and 2+ years building and operating production software platforms or Azure/AWS cloud solutions, including 2+ years supporting production LLM applications.
Strong software engineering and cloud skills, including Python, CI/CD, containers, Terraform, version control, observability, and secure deployment.
Hands-on experience with enterprise AI application delivery, prompt engineering, tool calling, evaluation, and agentic workflows.
Demonstrated experience implementing RAG, including ingestion, embeddings, vector search, re-ranking, grounding, and output evaluation.