Technology Strategy Technical Lead

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s 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.

We're 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.

• We build FredAI, the secure, scalable platform and reusable services that bring generative AI capabilities — including the company's 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.

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.

• 8-10+ years of software, data, or machine learning engineering experience, including 3+ years providing technical leadership for complex engineering teams or initiatives
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent experience (advanced degree preferred)
• Proven experience designing and delivering…