Top 693 Director Systems Engineering Jobs

Senior Director, Software Engineering
Freddie Mac —McLean, VA
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- Computer Science
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9d
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California Institute of Technology —Pasadena, CA
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Director, Software Engineering (Protect)
Pindrop —Atlanta, GA
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- 8 years
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Director, Software Engineering (Loans Lifecycle)
Affirm —San Francisco, CA
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Director of Systems Engineering
DroneUp, LLC —Remote
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Director AI Engineering Platform
Credit Acceptance —Remote
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Director - Data Engineering
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Novartis —Remote
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Director - Software Engineering
Salesforce —San Francisco, CA
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Director of Engineering, Safety
Discord —San Francisco, CA
- $400,000 - $450,000 a year
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Everyday Health - Consumer —Remote
- Full-time
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Health System Director, Clinical Engineering
NYU Langone Health —New York, NY
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Director, Software Engineering
Visa U.S.A. Inc. —Bellevue, WA
- $186,800 - $299,200 a year
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- 3 years
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10d
Director, Software Engineering
Suvoda —Philadelphia, PA
- Computer science
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Quick Apply

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Senior Director, Software Engineering

Freddie Mac -
McLean, VA

Apply Now

Job Details

Full-time
$228,000 - $342,000 a year
9 days ago

Qualifications

AI models
Software engineering
Continuous Delivery (CD) implementation
Infrastructure as Code (IaC)
Enterprise software
Regulatory compliance
Generative models
Cloud management tools
Enterprise solutions implementation
Enterprise software systems development
Microservices
Information security compliance
Production systems
Managing engineering teams
Technology management experience
Cloud Native Design
APIs
DevOps automation
Legal compliance
Stakeholder relationship building
Generative AI
Senior leadership
Stakeholder management

Full 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:

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.

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.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.

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.

Apply Now

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