Senior Director, Software Engineering

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.

Freddie Mac is seeking a Sr. Director, Generative AI Development to lead a team of engineers building and operating internal Generative AI capabilities, including the company's internal chatbot and additional Gen AI-enabled products. This leader will drive delivery excellence, engineering rigor, and secure-by-design implementation across the full software lifecycle - partnering closely with Product, Architecture, Cybersecurity, Data, Model Risk, Legal/Compliance, and business stakeholders.

Lead, coach, and grow a high-performing GenAI engineering team; set clear expectations, career paths, and performance standards.

Own delivery for internal AI chatbot and GenAI services: roadmap execution, sprint planning, dependency management, and release readiness.

Establish engineering standards for GenAI applications: prompt/service design patterns, evaluation frameworks, observability, and incident response.

Drive architecture and implementation for LLM-enabled systems (e.g., RAG, tool/function calling, agentic workflows) aligned to enterprise standards.

Ensure security, privacy, and compliance requirements are built-in (e.g., data handling, access controls, auditability, retention).

Partner with Model Risk Management and governance stakeholders to support appropriate documentation, testing, and controls for GenAI solutions.

Implement and monitor quality metrics (latency, cost per interaction, groundedness, hallucination rate, user satisfaction) and continuously improve.

Manage vendor/platform dependencies (LLM providers, orchestration frameworks, vector stores) and guide build-vs-buy decisions.

Communicate status, risks, and tradeoffs to senior technology and business leaders; translate business needs into engineering plans.

12+ years of software engineering experience, including 5+ years leading engineering teams/managers.

Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).

Proven experience delivering production-grade AI/ML or GenAI-enabled applications at enterprise scale.

Strong knowledge of modern cloud-native engineering (APIs, microservices, containers, CI/CD, IaC).

Recent hands-on coding experience.

Experience with secure software development practices and enterprise risk/compliance expectations.

Strong stakeholder management skills; ability to influence across product, security, and governance functions.

Preferred Qualifications:

Experience implementing RAG with vector databases and enterprise search.

Familiarity with LLM evaluation methods and automated testing approaches for GenAI.

Experience with MLOps/LLMOps, model monitoring, and cost optimization.

Background in regulated industries (financial services, mortgage, insurance) and related control environments.

Keys to Success in this Role:

Stable, measurable internal AI chatbot platform with strong adoption and clear quality/cost metrics.

Repeatable engineering patterns for GenAI features (RAG, tools, evaluation, guardrails) used across projects.

Improved delivery predictability and engineering quality (test coverage, incident reduction, faster release cycles).

Strong partnership model with Cybersecurity, Architecture, and Model Risk to accelerate safe delivery.

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 Mac's 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.

Time-type:

Full time

FLSA Status:

Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs.…