Position Overview: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. Apply now and learn why there's #MoreAtFreddieMac!
Our Impact:- 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.
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
- 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 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 builder's 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.Time-type:Full time
FLSA Status:Exempt
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.
This position has an annualized market-based salary range of $149,000 - $223,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.
