Lead, GenAI Automation & Risk Engineering

Freddie Mac; McLean (VA); On-site; USD 146,000 - 218,000; Full time

Job summary

Freddie Mac is seeking a highly experienced Technical Lead in GenAI & Automation Engineering to design and build AI-driven use cases, agentic workflows, and automation solutions that address complex business and risk challenges. This role sits at the intersection of AI engineering and risk management, prioritizing governance and responsible AI practices.

You will architect production-grade GenAI solutions using LLMs, RAG architectures, vector databases, and modern cloud-native frameworks, while

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred.
• 8–10+ years of software engineering experience.
• 5+ years in AI/ML or GenAI engineering.
• Strong Python proficiency; experience with LangChain or similar.
• Experience building LLM-based applications, including RAG and prompt engineering.
• Knowledge of APIs, microservices, and distributed systems in cloud environments (AWS preferred).
• Experience with MLOps/DataOps pipelines, observability, and monitoring tools.
• Familiarity with vector databases and modern AI architectures.
• Experience with LLM evaluation, guardrails, or AI safety mechanisms.
• Familiarity with AI governance, model risk, or responsible AI frameworks.
• Experience implementing risk, control, or compliance requirements in technical systems.
• Experience with platforms such as AWS Bedrock, Azure OpenAI, and GitHub Copilot.

Responsibilities

• Design and implement scalable GenAI applications, AI agents, and agentic workflows to solve complex business challenges.
• Build and optimize RAG pipelines, vector search solutions, and multi-modal AI integrations.
• Develop Python-based microservices and APIs; lead automation framework design.
• Embed risk and control mechanisms into GenAI workflows and translate regulatory requirements into scalable code.
• Collaborate with Risk, Security, and Governance teams; design data pipelines and feedback loops.
• Provide technical leadership and ensure high system performance and reliability.

Skills

Python

LangChain

AI/ML

Software Engineering

Distributed Systems

Cloud (AWS)

Education

Bachelor's degree in CS/Engineering

Tools

AWS Bedrock

Azure OpenAI

GitHub Copilot

MLOps Tools

Job description

Freddie Mac is seeking a highly experienced Technical Lead in GenAI & Automation Engineering to design and build AI-driven use cases, agentic workflows, and automation solutions that address complex business and risk challenges. This role sits at the intersection of AI engineering and risk management, prioritizing governance and responsible AI practices.

You will architect production-grade GenAI solutions using LLMs, RAG architectures, vector databases, and modern cloud-native frameworks, while