GenAI Engineer​/Generative AI Engineer​/Artificial Intelligence; AI Engineer

Job Summary

Our client is seeking a skilled Generative AI (GenAI) Engineer to join our team for a permanent, on-site role in New York City, NY or Alpharetta, GA
. This position focuses on designing, building, and integrating intelligent, AI-driven decision-making capabilities into enterprise Identity and Access Management (IAM) platforms to enhance governance, certification quality, and operational efficiency.

• Hourly Rate: $65.00 – $85.00 per hour.
• Annual Salary Equivalent: $68,432 – $102,272.

• Design and develop AI capabilities for enterprise identity management platforms.
• Build AI-powered decision engines to improve access requests, certifications, and governance workflows.
• Develop Python-based data pipelines for processing identity, entitlement, and usage data.
• Build and integrate agentic AI workflows using orchestration frameworks such as Lang Chain.
• Develop recommendation models that combine business rules with AI-driven insights.
• Integrate AI services with enterprise applications using APIs and workflow automation.
• Collaborate with engineering teams to improve governance, decision quality, and user experience.
• Ensure all AI solutions are reliable, scalable, explainable, and production-ready.

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Technology, or equivalent professional experience.
• Strong proficiency in Python programming.
• Proven experience building AI-powered enterprise applications.
• Expertise in Large Language Models (LLMs), agentic AI workflows, and prompt engineering.
• Experience with orchestration frameworks such as Lang Chain.
• Proficiency in SQL and the development of complex data pipelines.
• Experience integrating AI capabilities into enterprise applications via APIs and workflow automation.
• Solid understanding of cloud platforms (
  Azure, AWS, or GCP
  ), distributed systems, and enterprise architecture.
• Native or bilingual proficiency in English.

• Prior experience in the Identity and Access Management (IAM) domain.
• Experience building recommendation engines or AI-based classification models.
• Knowledge of explainable AI, model governance, and rule-based decision engines.
• Experience with workflow automation and lifecycle management.
• Relevant certifications, such as Microsoft Azure AI Engineer Associate, AWS Certified Machine Learning – Specialty, or Google Professional Machine Learning Engineer.