Technology Strategy Technical Lead

Freddie Mac•McLean, VA

1d•$149,000 - $223,000

About The Position

Freddie Mac’s Corporate Technology Strategy team is building FredAI, an internal enterprise generative AI platform and portfolio of AI-enabled products. The Technology Strategy Technical Lead provides hands-on technical leadership for solution design and engineering delivery, turning foundation models into reliable, measurable business outcomes. The role guides the architecture, design, and delivery of FredAI capabilities and establishes reusable patterns and practices that enable product teams to build and operate secure, scalable, and responsible GenAI solutions across the enterprise. The position works with Architecture, Cybersecurity, Data, Model Risk, Cloud Engineering, and other partners to integrate GenAI services with enterprise systems and meet expectations for identity, data protection, auditability, resiliency, and responsible AI. The lead also directs and mentors engineers, reviews code and designs, and owns technical and product-quality outcomes.

Requirements

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.
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 using Python, TypeScript/JavaScript, or Java; APIs, microservices, containers, distributed systems, CI/CD, and infrastructure as code.
Hands-on knowledge of LLM application patterns, including 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.

Nice To Haves

Advanced degree in a related technical field.

Responsibilities

Provide hands-on technical leadership for the architecture, design, and delivery of FredAI capabilities and production GenAI applications.
Design and implement reusable reference architectures, SDKs, shared services, APIs, and integration patterns for multiple product teams.
Implement evaluation, testing, and LLMOps practices, including 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 the GenAI Program Manager to integrate GenAI services with enterprise systems, translate business needs into governed technical solutions, and resolve cross-team dependencies.
Provide technical direction, code and design reviews, mentoring, and hands-on problem solving for GenAI, software, platform, and quality engineers.
Own technical and product-quality outcomes, including availability, latency, throughput, task completion, developer productivity, and cost per successful outcome, and drive corrective action when targets are not met.