GenAI Architect

Location: Cambridge, MA (5 days onsite) • Full-time

About the role

We are seeking a client-facing GenAI Engineer / Architect who combines strong solution architecture and engineering capabilities with business analysis skills. This role will work with business stakeholders, product owners, SMEs, and delivery teams to identify, shape, design, and implement AI-enabled solutions for healthcare and medtech use cases.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field.
• 7+ years of experience across solution engineering, architecture, or consulting, with meaningful experience in AI/GenAI delivery.
• Strong hands-on experience in Generative AI development and implementation.
• Azure-focused GenAI expertise (preferred).
• Hands-on experience with Python and enterprise integration patterns.
• Experience with LLM platforms such as Azure OpenAI or OpenAI, prompt engineering, and orchestration frameworks.
• Experience with RAG, vector databases/search, document AI/OCR, and API-led solution integration.
• Experience working directly with clients and stakeholders.
• Healthcare domain experience (preferred).

Responsibilities

• Engage with business stakeholders, product owners, SMEs, and delivery teams to identify and shape AI-enabled solutions.
• Design and implement AI/GenAI solutions for healthcare and medtech use cases.
• Gather requirements, facilitate workshops, analyze processes, create user stories, and manage stakeholders.
• Work in Agile delivery environments using tools such as JIRA, Azure DevOps, or similar.
• Connect business outcomes to technology decisions and delivery priorities.

Skills

• Strong business analysis capability: requirement gathering, workshop facilitation, process analysis, user story creation, and stakeholder management.
• Strong written and verbal communication skills with the ability to engage both business and technical stakeholders.
• Experience with enterprise search, multilingual content, translation services, analytics, and workflow automation (preferred).
• Familiarity with HIPAA, GxP/GMP awareness, FDA-regulated environments, privacy, quality, validation, and audit expectations relevant to digital solutions (preferred).
• Exposure to cloud platforms such as Azure and AWS (preferred).
• Experience supporting client consulting engagements, operating models, and value case development (preferred).