Freddiemac
Technical Lead, GenAI & Automation Engineering (Risk Engineering)
McLean, VA · Full-time
Sponsorship not specified$146k-$218kDetected 8 days ago
PythonDistributed SystemsGitVector DatabasesAWSAzureCloud PlatformsMachine LearningData EngineeringLLMsRAGAgentic AIMLOpsCollaboration
About the role
- 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.
- 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").
Responsibilities
- 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.
- 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.
- Deliver robust, well-tested, and production-ready solutions
- Freddie Mac partners with BountyJobs for contingency search business through outside firms.
Requirements
- Experience with platforms such as AWS Bedrock, Azure OpenAI, and GitHub Copilot
- Technical Proficiency: Strong Python skills and ability to build scalable microservices
- Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
- Experience building LLM-based applications, including RAG and prompt engineering
- Keys to Success in the Role
Nice to have
- Bachelor's degree in Computer Science, Engineering, or a related field (advanced degree preferred)
- 8-10+ 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
- 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
Skills
- Continuously develop skills in GenAI and emerging technologies
Compensation
- This position has an annualized market-based salary range of $146,000 - $218,000 and is eligible to participate in the annual incentive program.
Benefits
- If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
- 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.
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