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GenAI Engineer / Generative AI Engineer / Artificial Intelligence (AI) Engineer

Macpower Digital Assets Edge Private Limited

New York City, NY

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JOB DETAILS
SALARY
$68,432–$102,272 Per Year
SKILLS
Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Automation, Business Model, Cloud Computing, Computer Science, Data Management, Data Science, Distributed Computing, English Language, Enterprise Applications, Enterprise Architecture, GCP (Good Clinical Practices), Identity Data Management, Information Technology & Information Systems, Machine Learning, Microsoft Windows Azure, Multilingual, Python Programming/Scripting Language, SQL (Structured Query Language), Software Engineering, User Interface/Experience (UI/UX)
LOCATION
New York City, NY
POSTED
3 days ago
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.
Compensation:
  • Hourly Rate: $65.00 – $85.00 per hour.
  • Annual Salary Equivalent: $68,432 – $102,272.
Core Responsibilities:
  • 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 LangChain.
  • 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.
Required Qualifications:
  • 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 LangChain.
  • 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.
Preferred Qualifications:
  • 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.

About the Company

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Macpower Digital Assets Edge Private Limited

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