AI Engineer

Location: Hybrid role based in Boston, Massachusetts, United States; compliance with FMI attendance policies is required.

Salary: $111,040–$138,800 per year, based on the primary Boston, MA location. A discretionary annual bonus may be available.

Company

hirify.global develops healthcare and genomics solutions and applies enterprise technology to support secure, compliant business processes.

What you will do

• Design, operate, and continuously improve enterprise AI platforms, services, integrations, and governance capabilities.
• Administer AI platforms and agent services, including identity and access management, observability, provisioning, lifecycle management, and governance workflows.
• Implement security controls, auditing, data protection, and compliance guardrails with Cybersecurity, Data, and Infrastructure teams.
• Build secure integrations, AI applications, copilots, and agentic workflows connected to approved enterprise systems and governed data.
• Develop retrieval-based and tool-enabled AI solutions using approved knowledge sources, and establish evaluation, testing, monitoring, and improvement practices.
• Maintain production engineering practices including code quality, deployment pipelines, instrumentation, version control, operational readiness, and reliability.

Requirements

• Bachelor’s degree and 2+ years designing, building, and operating production software platforms or cloud solutions on Azure and/or AWS, including at least 2 years developing and supporting production LLM-powered applications.
• Strong expertise in Python, APIs, CI/CD, containers, Terraform, version control, observability, and secure deployment practices.
• Hands-on experience with prompt engineering, structured outputs, tool calling, context engineering, evaluation frameworks, agentic workflows, and production AI application delivery.
• Experience implementing RAG and enterprise knowledge solutions, including content ingestion, embeddings, vector search, re-ranking, grounding strategies, and evaluation of generated outputs.
• Experience integrating AI platforms with enterprise systems and governed data using authentication and authorization patterns, MCP or equivalent frameworks, APIs, OAuth, and secure access controls.
• Knowledge of Azure AI Foundry, Azure OpenAI Service and/or AWS Bedrock, Entra ID, managed identities, IAM, Conditional Access, and related governance and compliance controls.
• Ability to work with business, data, security, and technology stakeholders and translate requirements into solutions within governance, risk, compliance, and operational guardrails.

Nice to have

• Experience in regulated industries such as healthcare, biotechnology, genomics, pharmaceuticals, or financial services.
• Familiarity with HIPAA, GxP, 21 CFR Part 11, validated systems, audit trails, NIST AI RMF, and emerging AI regulations.
• Experience with AWS Bedrock, Azure AI Foundry, Anthropic Claude, Bedrock AgentCore, Claude Code, or similar enterprise AI technologies.
• Experience with fine-tuning, distillation, open-weight models, or cost- and latency-optimized deployments.
• Contributions to open-source AI tooling, agent frameworks, MCP servers, or evaluation frameworks; relevant Microsoft or AWS certifications.
• Commitment to responsible AI, security, compliance, HIPAA, patient data privacy, and FMI’s values of Integrity, Courage, and Passion.

Culture & Benefits

• Hybrid work arrangement with required compliance with FMI attendance policies.
• hirify.global benefits are available for this full-time position.
• A discretionary annual bonus may be available based on individual and company performance.