Artificial Intelligence Engineer
Avanciers Inc. · ·
Tech Stack Required
About the Role
Avanciers Incorporated is hiring a GenAI Engineer for one of our clients. Role: GenAI Engineer Location: Cambridge, MA (5 days onsite) Full-time Key Requirements: • Experience with Multi agent, RAG, Agentic AI • Strong hands-on experience in Generative AI development and implementation • Azure-focused GenAI expertise (preferred) • Experience working directly with clients and stakeholders • Healthcare domain experience (Nice to have) Role Overview 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. The person must understand business processes, convert ambiguous needs into scalable GenAI solutions, and ensure delivery aligns with privacy, quality, compliance, and operational expectations in regulated environments. Required Skills • 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. • 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. • Strong business analysis capability: requirement gathering, workshop facilitation, process analysis, user story creation, and stakeholder management. • Experience working in Agile delivery environments using tools such as JIRA, Azure DevOps, or similar. • Strong written and verbal communication skills with the ability to engage both business and technical stakeholders. • Ability to connect business outcomes to technology decisions and delivery priorities. Show more Show less
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