Freddie Mac

Senior Director, Software Engineering

Freddie Mac$228K — $342K *
Enterprise Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years of software engineering experience, including 5+ years in leadership roles.
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • Demonstrated track record in delivering AI/ML or GenAI applications at scale.
  • Strong grasp of cloud-native engineering concepts (APIs, microservices, containers, CI/CD, IaC).
  • Recent hands-on coding skills required.
  • Experience in secure software development practices within enterprise compliance frameworks.
  • Effective stakeholder management and influencing ability across diverse functions.

Responsibilities

  • Lead and develop a high-performing engineering team, establishing clear expectations and performance metrics.
  • Own the delivery and execution of an internal AI chatbot and GenAI services, managing roadmap and sprint planning.
  • Establish engineering standards for GenAI applications including design patterns and incident response protocols.
  • Drive the architecture and implementation of LLM-enabled systems in compliance with enterprise standards.
  • Ensure the integration of security, privacy, and compliance requirements within GenAI solutions.
  • Collaborate with Model Risk Management for compliance documentation and controls.
  • Monitor and implement quality metrics to continuously improve AI services.
  • Manage dependencies among vendors and platforms, guiding build-vs-buy decisions.

Benefits

  • Comprehensive total rewards package including competitive compensation.
  • Market-leading benefits programs available for employees.
Full Job Description
Position Overview:

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.

Your Impact:
  • 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.


Qualifications:
  • 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.


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 $228,000 - $342,000 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.

About Freddie Mac

Freddie Mac is vital to a strong U.S. housing system, providing liquidity to the mortgage market under all economic conditions while ensuring the safety and soundness. As a trusted leader in housing finance, we guide the industry in meeting the needs of lenders and lowering the cost of housing for America's families.
Learn more about Freddie Mac
Size
7,284 employees
Industry
Founded
1970
NASDAQ

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