GenAI Engineer-Boston, MA/Hartford, CT/Albany, NY/Jersey City, NJ/Dover, DE

Role: GenAI Engineer
Location: Boston, MA/Hartford, CT/Albany, NY/Jersey City, NJ/Dover, DE
Looking for W2 candidates. No C2C

Role Summary:
This role involves designing, developing, and integrating AI capabilities within identity and access management (IAM) platforms. It focuses on enhancing access decision processes, certification workflows, and governance functions by embedding intelligent decision-making into existing systems. The position requires a technical expert capable of building scalable data pipelines, developing AI models, and integrating them seamlessly into enterprise environments to improve efficiency and decision quality.

Responsibilities:

• Develop and implement AI-enabled workflows to enhance access management, certification, and lifecycle events.
• Build and maintain complex data pipelines utilizing Python, SQL, and cloud platforms to process identity, entitlement, and usage data.
• Design and deploy classification, scoring, and recommendation models that blend rule-based and data-driven approaches.
• Integrate AI models and decision logic into existing IAM systems using APIs, system queries, and orchestration layers.
• Collaborate on developing multi-step agentic workflows, leveraging frameworks like LangChain or similar orchestration tools.
• Improve decision quality, cycle times, and user experience for access reviews and approval processes.
• Ensure AI workflows are explainable, reproducible, and reliable, aligning with enterprise standards.
• Work with distributed cloud infrastructure (Azure, AWS, Google Cloud Platform) to facilitate system integrations and data flow.
• Support governance and compliance requirements by embedding decision intelligence into workflows.
• Maintain documentation and best practices for model deployment, integration, and lifecycle management.

Required Skills:

• Strong proficiency in Python.
• Hands-on experience with SQL.
• Experience building scalable cloud-based data pipelines.
• Strong knowledge of Artificial Intelligence (AI) and Machine Learning (ML).
• Experience developing classification, scoring, and recommendation models.
• Hands-on experience with Lang Chain or similar AI orchestration frameworks.
• Experience integrating AI workflows using REST APIs and enterprise system queries.
• Knowledge of Identity and Access Management (IAM) concepts.
• Experience with access certification and identity lifecycle workflows.
• Working knowledge of cloud platforms including Azure, AWS, and Google Cloud Platform.
• Ability to translate AI solutions into business-driven outcomes.

Best Regards:

Lucy Rose
Phone:
Email: