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MD

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

Macpower Digital Assets Edge Private Limited
πŸ‡ΊπŸ‡Έ United States
On-site
5 days ago
$68,432 – $102,272 / year
  • Machine Learning
  • AI
  • IAM
  • Identity Management
  • Python
  • LangChain
  • Large Language Models
  • SQL
  • Azure
  • AWS
  • GCP
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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.

GenAI Engineer / Generative AI Engineer / Artificial Intelligence (AI) Engineer Β· Macpower Digital Assets Edge Private Limited

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