Software Engineering, Senior Director

ITSMF; McLean (VA); On-site; USD 228,000 - 342,000; Full time

Job summary

Freddie Mac is seeking an experienced GenAI engineering leader to shape how the enterprise deploys AI safely at scale. You will own technical strategy, guide architecture, and deliver production GenAI applications using foundation models, RAG, embeddings, and orchestration.

You will build reusable platform patterns, drive governance, and collaborate with security, data, and cloud teams to deliver high-value capabilities while mentoring a diverse team of engineers.

Qualifications

• 15+ years of software, data, or ML engineering experience with leadership responsibility.
• Experience architecting and delivering production GenAI or AI/ML systems at enterprise scale, with hands-on coding.
• Strong proficiency in cloud-native engineering using modern languages and APIs.
• Security, privacy, identity, data governance, and compliant design in regulated environments.

Responsibilities

• Lead end-to-end engineering strategy, architecture, and delivery of FredAI platforms and applications.
• Build reusable platform components: architectures, SDKs, shared services, APIs, and integration patterns.
• Enforce robust MLOps: testing, CI/CD, observability, incident response, and rollback.
• Design secure, permission-aware solutions with audit logging and governance.
• Partner with cross-functional teams to translate business needs into high-value GenAI capabilities.
• Grow and mentor a multidisciplinary engineering team and drive measurable outcomes.

Skills

GenAI engineering leadership

Cloud-native engineering

LLM patterns

Security & privacy in enterprise

Team leadership

Hands-on coding

Platform orchestration

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Tools

Python

TypeScript/JavaScript

Java

APIs

Microservices

Containers

CI/CD

IaC

Job description

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.

Position Overview:

Do you want your engineering leadership to 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, visionary engineering leader to own the technical strategy and delivery that turns cutting-edge foundation models into measurable business outcomes.

Our Impact:

• We build the secure, scalable platforms 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 leadership and will be expected to:

• Lead the end-to-end engineering strategy, architecture, and delivery of FredAI, building production GenAI applications using foundation models, RAG, embeddings, vector search, orchestration, tool calling, and agentic workflows.
• Build a reusable platform of 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 and translate business needs into governed, high-value capabilities.
• Lead, coach, and grow a high-performing, multidisciplinary team of GenAI, software, platform, and quality engineers, setting clear expectations, career paths, and a culture of ownership and experimentation.
• Manage engineering and product-quality outcomes — availability, latency, throughput, task completion, adoption, developer productivity, and cost per successful outcome.

Qualifications:

• 15+ years of software, data, or machine learning engineering experience, including significant technical and people leadership responsibility (4+ years leading engineering teams/managers).
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent experience (advanced degree preferred).
• Proven experience architecting and delivering production GenAI or AI/ML systems at enterprise scale, with recent hands‑on coding 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 love solving the hardest engineering problems hands‑on, not just directing from the sidelines.
• A natural influencer who can rally engineering, security, data, risk, and business partners around a shared technical vision.
• 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.

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.

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.