Technical Lead, GenAI & Automation Engineering (Risk Engineering)

At Freddie Mac our mission of Making Home Possible is what motivates us and its at the core of everything we do. Since our charter in 1970 we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

Position Overview
We are seeking a highly experienced Technical Lead in GenAI & Automation Engineering to design and build AI-driven use cases agentic workflows and automation solutions that solve complex business and risk challenges.

This role sits at the intersection of AI engineering and risk management focusing on embedding controls governance and risk intelligence directly into GenAI systems (control as code).

You will lead the development of production-grade GenAI solutions leveraging technologies such as LLMs RAG architectures vector databases and modern cloud-native frameworks while ensuring scalability reliability and responsible AI practices.

At Freddie Mac our mission of Making Home Possible drives everything we do. As we advance into an AI-powered future we are transforming how risk management is designed implemented and scaledmoving from manual processes to intelligent automated and embedded risk capabilities.

This role is part of a next-generation initiative to reimagine risk management through GenAI and automation where controls are engineered into systems not just documented.

In this role you will design and implement scalable GenAI applications AI agents and agentic workflows to solve complex business challenges while building and optimizing RAG pipelines vector search solutions and multi-modal AI integrations. You will develop Python-based microservices and APIs lead automation framework design and ensure efficient deployment and high system performance. A key differentiator is embedding risk and control mechanisms directly into GenAI workflows translating regulatory requirements into scalable code and partnering with Risk Security and Governance teams. You will also design feature engineering and data pipelines establish feedback loops for continuous improvement and collaborate with cross-functional teams while providing technical leadership. Success in this role requires engineering excellence technical depth in Python and AI/ML frameworks data readiness a risk-aware mindset and a commitment to innovation in emerging AI technologies.

Qualifications

• Bachelors degree in Computer Science Engineering or a related field (advanced degree preferred)

• 810 years of experience in software engineering

• 5 years of experience in AI/ML or GenAI engineering

• Strong proficiency in Python and experience with frameworks such as 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

Keys to Success in the Role

• Technical Proficiency: Strong Python skills and ability to build scalable microservices

• Quality & Reliability: Deliver robust well-tested and production-ready solutions

• Learning Agility: Continuously develop skills in GenAI and emerging technologies

• Collaboration: Work effectively across engineering product and risk teams

• Attention to Detail: Ensure high-quality data outputs and system performance

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender race color religion national origin age marital status veteran status sexual orientation gender identity/expression physical and mental disability pregnancy ethnicity genetic information or any other protected categories under applicable federal state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Macs business. This includes employee commitment to our acceptable use policy applying a vigilance-first approach to work supporting regulatory mandates and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.