Principal Engineer, AI Systems

Principal Engineer, AI Systems – One Study Team  (a Reify Health company)

Boston, MA – Full-time (Hybrid)

One Study Team  specializes in speeding up clinical trials and improving patient outcomes by providing a cloud-based platform that brings research site workflows online. Our platform, Study Team, is trusted by the largest global biopharmaceutical companies and is used in over 6,000 research sites across 100+ countries.

• Lead organization‑wide AI adoption and enablement initiatives, identifying opportunities to leverage AI tools for efficiency, accuracy, and productivity.
• Architect, configure, and prototype solutions using large language models, APIs, and orchestration tools, creating proofs‑of‑concept for department‑specific use cases.
• Integrate AI capabilities into existing applications, workflows, and cloud environments (Azure, AWS), managing connections between enterprise systems and AI platforms through APIs or automation layers.
• Oversee configuration and operational support of AI platforms such as OpenAI, Anthropic, Zapier, and Make.
• Ensure AI implementations comply with internal policies and external standards, including HIPAA, ISO 27001/27002, and data governance frameworks.
• Implement and advocate compliance with AI risk frameworks such as NIST AI RMF 1.0 and the EU AI Act, conducting risk assessments and recommending mitigation controls.
• Partner with department heads and technical teams to evaluate requirements, recommend AI‑enabled tools, and support implementation.
• Serve as trusted AI advisor, providing internal guidance, training, and documentation on AI tool usage, safety, and best practices.
• Establish metrics to evaluate AI‑driven efficiency gains, user adoption, and business impact.
• Continuously research, evaluate, and recommend new AI tools, frameworks, and integration strategies aligned with enterprise goals.

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (or equivalent practical experience)
• Certifications in cloud platforms (AWS, Azure), AI/ML, or information security
• 10+ years of hands‑on experience in software engineering, systems integration, or Dev Ops
• 3+ years of experience implementing and managing AI or automation tools in enterprise environments
• Deep understanding of AI deployment frameworks and integration with enterprise applications, APIs, and data infrastructure
• Strong Python and scripting skills for automation and AI orchestration
• Proven ability to translate business problems into AI‑enabled technical solutions
• Familiarity with HIPAA, ISO 27001/27002, and secure software development practices
• Working knowledge of NIST AI RMF 1.0 and EU AI Act risk categorization principles
• Demonstrated ability to work cross‑functionally and communicate technical solutions to non‑technical audiences
• Experience leading AI governance, security, or compliance initiatives in regulated industries
• Experience with MLOps, data pipelines, or enterprise automation platforms such as Zapier and Make
• Prior experience developing or managing chatbot workflows, prompt engineering, or AI knowledge bases
• Familiarity with productivity‑enhancing tools such as Microsoft Copilot, Slack AI, Salesforce AI, or similar enterprise AI integrations