Senior AI Platform Engineer - Enterprise AI

Foundation Medicine; Boston (MA); On-site; USD 111,000 - 139,000; Full time

Benefits offered by this job

Discretionary annual bonus

Job summary

Foundation Medicine in Boston, MA is seeking an AI Engineer to design, operate, and continuously improve enterprise AI platforms, applications, and agentic workflows, collaborating across Cybersecurity, Infrastructure, Data, and business teams.

The role emphasizes secure, scalable, governed AI capabilities, with hands-on engineering for retrieval-based solutions, tool integration, deployment pipelines, and ongoing monitoring to deliver practical outcomes.

Qualifications

• Bachelor's degree and 2+ years designing, building, and operating production software platforms.
• Strong software engineering and cloud platform expertise including Python, APIs, CI/CD, containers, and IaC.
• Experience deploying LLM-powered applications in production environments.
• Experience integrating AI platforms with enterprise systems and governed data.

Responsibilities

• Design, operate, and continuously improve enterprise AI platforms, services, integrations, and governance capabilities that enable secure, scalable, and reliable AI adoption.
• Administer and support AI platforms, agent services, and enterprise controls, including identity, access management, observability, provisioning, lifecycle management, and governance workflows.
• Implement and maintain security controls, auditing capabilities, data protection measures, and compliance guardrails in partnership with Cybersecurity, Data, Infrastructure teams.
• Design and develop secure integrations that enable AI applications and agents to interact with approved enterprise systems, tools, and governed data assets.
• Scope, build, deploy, and support AI applications, copilots, and agentic workflows that address business needs while operating within established technical and governance guardrails.
• Develop and maintain retrieval-based and tool-enabled AI solutions using approved knowledge sources and governed data assets to support accurate, traceable, and reproducible outcomes.
• Establish and execute evaluation, monitoring, testing, and continuous improvement practices that ensure AI solutions remain effective, reliable, and fit for purpose.
• Maintain production engineering practices, including code quality, deployment pipelines, instrumentation, version control, operational readiness, and platform reliability.
• Drive enablement and scale by providing design guidance, reusable patterns, reference implementations, documentation, and practical support for internal builders and stakeholders.
• Comply with FMI's attendance policies.

Skills

Python

APIs

CI/CD

Containers

Terraform

Version control

Observability

Security practices

Education

Bachelor's Degree

Tools

Azure

AWS Bedrock

Entra ID

Job description

Foundation Medicine in Boston, MA is seeking an AI Engineer to design, operate, and continuously improve enterprise AI platforms, applications, and agentic workflows, collaborating across Cybersecurity, Infrastructure, Data, and business teams.

The role emphasizes secure, scalable, governed AI capabilities, with hands-on engineering for retrieval-based solutions, tool integration, deployment pipelines, and ongoing monitoring to deliver practical outcomes.