Enterprise AI Engineer: Secure, Scalable AI Platforms

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

Job summary

Foundation Medicine, Inc. in Boston seeks an AI Engineer to design, operate, and continuously improve enterprise AI platforms and agentic workflows, partnering with Cybersecurity, Infrastructure, and business stakeholders to deliver secure, scalable AI capabilities.

The role covers platform configuration, data governance, retrieval pipelines, evaluation, and production delivery of AI solutions, with a focus on responsible AI, governance, and compliant integration with enterprise systems.

Qualifications

• Bachelor's degree and 2+ years designing, building, and operating production software platforms.
• Strong software engineering and cloud platform expertise across Python, APIs, CI/CD, containers, IaC (Terraform), version control, observability, and secure deployment practices.
• Hands-on experience designing enterprise AI solutions, including prompt engineering, structured outputs, tool calling, context engineering, evaluation frameworks, agentic workflows, and production AI delivery.
• Experience implementing retrieval-augmented generation (RAG) and enterprise knowledge solutions.
• Experience integrating AI platforms with enterprise systems and governed data, including authentication/authorization patterns, APIs, OAuth, and secure access controls.
• Strong knowledge of enterprise AI, cloud, and security platforms (Azure/ AWS) and governance controls.
• Proven ability to collaborate with business, data, security, and technology stakeholders to turn requirements into practical solutions within governance and risk constraints.

Responsibilities

• Design, operate, and continuously improve enterprise AI platforms, services, integrations, and governance capabilities.
• 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 with Cybersecurity, Data, and Infrastructure teams.
• Design and develop secure integrations that enable AI applications and agents to interact with approved enterprise systems and governed data assets.
• Scope, build, deploy, and support AI applications, copilots, and agentic workflows addressing business needs within governance guardrails.
• Develop and maintain retrieval-based AI solutions using approved knowledge sources and governed data assets for accurate, traceable outcomes.
• Establish evaluation, monitoring, testing, and continuous improvement practices to keep AI solutions effective and reliable.
• Maintain production engineering practices: code quality, pipelines, instrumentation, version control, and platform reliability.
• Drive enablement and scale by providing guidance, reusable patterns, reference implementations, and documentation for internal builders.
• Comply with FMI's attendance policies.

Skills

Bachelor's degree & 2+ years

Software engineering & cloud

AI solution design

RAG & knowledge solutions

Enterprise integration & security

Enterprise platforms & security

Stakeholder collaboration

Education

Bachelor's degree

Job description

Foundation Medicine, Inc. in Boston seeks an AI Engineer to design, operate, and continuously improve enterprise AI platforms and agentic workflows, partnering with Cybersecurity, Infrastructure, and business stakeholders to deliver secure, scalable AI capabilities.

The role covers platform configuration, data governance, retrieval pipelines, evaluation, and production delivery of AI solutions, with a focus on responsible AI, governance, and compliant integration with enterprise systems.