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

MDAEdge; Alpharetta (GA); On-site; USD 68,432 - 102,272; Full time

Job summary

MDAEdge is seeking a Generative AI Engineer to design, build, and deploy AI-driven decision-making capabilities within enterprise IAM platforms. The role focuses on governance, certifications, and operational efficiency and requires strong Python expertise and experience with LLMs and LangChain.

The position is on-site in New York City or Alpharetta, GA, with opportunities to work on AI-powered decision engines, data pipelines, and API-driven integrations across enterprise applications.

Qualifications

• Bachelor's degree or equivalent professional experience in CS/IT/AI.
• Strong Python programming proficiency.
• Experience building AI-powered enterprise apps and LLMs.
• Knowledge of LangChain and AI orchestration workflows.
• Experience integrating AI capabilities via APIs and data pipelines.

Responsibilities

• Design and develop AI capabilities for enterprise IAM platforms.
• Build AI-powered decision engines to improve access requests, certifications, and governance workflows.
• Develop Python-based data pipelines for identity, entitlement, and usage data.
• Build and integrate agentic AI workflows using orchestration frameworks like LangChain.
• Develop recommendation models combining business rules with AI insights.
• Integrate AI services with enterprise apps using APIs and workflow automation.
• Collaborate with engineering teams to improve governance, decision quality, and UX.
• Ensure AI solutions are reliable, scalable, and production-ready.

Skills

Python

LLMs

LangChain

APIs

SQL

Education

Bachelor's degree in Computer Science

Job description

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.