Technology Strategy Technical Lead

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.

Do you want your technical leadership to help shape how an entire enterprise puts generative AI to work safely at scale and for real impact At Freddie Mac our mission of Making Home Possible is at the core of everything we do and our Corporate Technology Strategy team is building FredAI our internal enterprise GenAI platform and portfolio of AI-enabled products. Were searching for a hands-on highly experienced Technical Lead to guide solution design and engineering delivery turning cutting-edge foundation models into reliable measurable business outcomes. Apply now and learn why theres #MoreAtFreddieMac!

Our Impact:

• We build FredAI the secure scalable platform and reusable services that bring generative AI capabilities including the companys internal chatbot and AI-enabled products to teams across the enterprise.
• We translate the Freddie Mac CIO vision for GenAI into an executable engineering roadmap setting the reference architectures standards and shared frameworks that let multiple product teams deliver consistently and responsibly.
• We partner across Architecture Cybersecurity Data Model Risk and Cloud Engineering to ensure every solution meets enterprise expectations for identity data protection auditability resiliency and responsible AI.

Your Impact:

In this role you will be an integral part of our GenAI engineering team and will be expected to:

• Provide hands-on technical leadership for the architecture design and delivery of FredAI capabilities building production GenAI applications using foundation models RAG embeddings vector search orchestration tool calling and agentic workflows.
• Design and implement reusable reference architectures SDKs shared services APIs and integration patterns that accelerate delivery across multiple product teams.
• Implement rigorous evaluation testing and LLMOps practices offline benchmarks regression suites groundedness and hallucination measures CI/CD versioning observability tracing incident response and rollback.
• Engineer secure permission-aware solutions that enforce identity entitlements data boundaries privacy human approvals audit logging and responsible AI policies.
• Define model and platform integration patterns including model selection and routing structured outputs caching rate limiting fallback strategies token budgets circuit-breaker controls and cost management.
• Partner with cloud platform data and security teams and with the GenAI Program Manager to integrate GenAI services with enterprise systems translate business needs into governed technical solutions and resolve cross-team engineering dependencies.
• Provide technical direction code and design reviews mentoring and hands-on problem solving for GenAI software platform and quality engineers fostering a culture of ownership engineering discipline and experimentation.
• Own technical and product-quality outcomes including availability latency throughput task completion developer productivity and cost per successful outcome and drive corrective actions when targets are not met.

Qualifications:

• 8-10 years of software data or machine learning engineering experience including 3 years providing technical leadership for complex engineering teams or initiatives
• Bachelors degree in Computer Science Engineering Data Science or a related technical field or equivalent experience (advanced degree preferred)
• Proven experience designing and delivering production GenAI or AI/ML systems at enterprise scale with recent hands-on coding and technical design experience
• Strong proficiency in modern cloud-native engineering (Python TypeScript/JavaScript or Java; APIs microservices containers distributed systems CI/CD IaC)
• Hands-on knowledge of LLM application patterns prompting RAG embeddings vector search orchestration tool calling agents structured outputs and model evaluation
• Experience designing for security privacy identity data governance resiliency auditability and responsible AI in a regulated enterprise environment

Keys to Success in this Role:

• A builders mindset: you enjoy solving the hardest engineering problems hands-on while guiding others through sound technical decisions
• A credible technical influencer who can align engineering security data risk and business partners around a shared solution design.
• Comfortable operating in the space of no longer and not yet translating fast-moving GenAI advances into practical governed capabilities
• Calm under pressure with strong operational discipline and a bias toward measurable outcomes
• A curious continuous learner who stays current on emerging AI technologies and a great teammate with a sense of humor

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.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more please visit 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.