At Fannie Mae, the inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of a collaborative team thriving in an energizing environment. Here, you will grow your career and help create access to affordable housing finance.
Job Description
We're looking for a forward looking, AI-first engineering leader to help shape the future of Capital Markets Technology at Fannie Mae. In this high-impact role, you'll lead a 60+ person team to modernize mission-critical systems, drive Capital Markets platform transformation, and embed intelligence into every layer of our platform.
You'll operate at the intersection of innovation, architecture, and people leadership, balancing enterprise-scale transformation with startup-style agility. If you're passionate about building intelligent, resilient, and scalable systems that power the future of capital markets, this is your opportunity to lead that change.
Want more jobs like this?
Get Software Engineering jobs in Plano, TX delivered to your inbox every week.
Key Responsibilities
AI-First Technology Strategy
- Define and execute an AI-first engineering strategy that embeds intelligence across the technology stack from infrastructure to user experience.
- Strategically integrate AI/ML, GenAI & Agentic AI into products, user workflows, and research/decisioning.
Cloud & Platform Modernization
- Lead Capital Markets platform transformation with AI-first principles, cloud-native, API-driven, event-based, and microservices-oriented architectures using AWS.
- Drive adoption of AWS-native services (e.g., Lambda, ECS, S3, RDS), infrastructure-as-code (Terraform), and CI/CD pipelines (GitLab).
- Ensure scalable, secure, and maintainable design patterns while managing technical debt and long-term platform health.
Startup-Style Innovation & Product Thinking
- Operate with a product-first mindset, aligning engineering with customer needs and business outcomes.
- Rapidly prototype and iterate on new ideas using AI and emerging technologies.
- Lead innovation initiatives such as hackathons, proof-of-concepts, and strategic partnerships with mortgage technology companies and AI vendors.
Engineering Leadership & Talent Development
- Build, scale, and mentor a high-performing engineering organization focused on AI fluency, cloud-native skills, and continuous learning.
- Foster a culture of innovation, inclusion, psychological safety, and technical excellence.
- Develop leadership programs and career frameworks to grow future-ready engineering talent.
Operational Excellence & Post-Production Ownership
- Drive measurable improvements in system reliability, deployment velocity, and AI model performance through engineering excellence and operational rigor.
- Establish and enforce engineering standards, architectural governance, and KPIs.
- Ensure teams own their software end-to-end from deployment to monitoring, incident response, and continuous improvement.
- Implement robust observability practices (e.g., logging, tracing, metrics) to proactively detect and resolve production issues.
- Lead post-incident reviews and root cause analysis to drive systemic improvements.
- Ensure compliance with security, regulatory, and risk management requirements, especially in AI and data privacy contexts.
Cross-Functional Collaboration
- Act as a strategic partner to business, product, architecture, and infrastructure teams.
- Represent engineering in leadership forums and steering committees.
- Translate complex technical and AI concepts into clear, actionable insights for junior associates and non-technical stakeholders
Qualifications
Required Experience
- 8 years of experience in Software Engineering and in senior leadership roles
- Proven success leading large-scale engineering teams in a cloud-native.
- Experience modernizing legacy systems and driving digital transformation, regulated industry experience would be a plus
- Deep expertise in Java, Spring Boot, GitLab, Terraform, and AWS (ex. Serverless, Containers, Lambda, S3, RDS).
- Strong understanding of microservices, API ecosystems, event-driven architecture, serverless architecture and DevSecOps.
- Demonstrated success integrating AI/ML and GenAI into enterprise-grade applications.
- Familiarity with full-stack development and modern frameworks (e.g., Angular/React, Java, Springboot, Python).
- Exceptional executive presence, communication, and stakeholder management skills.
- Strategic thinker with a strong bias for action and results.
Desired Experience
- 20+ years of experience in Software Engineering and in senior leadership roles
- Experience with emerging technologies such as Blockchain or data platforms like Palantir, Snowflake, or Databricks is a strong plus
- Prior experience in Capital Markets technology or trading systems, with a strong understanding of MBS, financial instruments, and trade workflows.
Education
- Bachelor's degree in computer science, engineering, or a related field required.
- Master's degree or MBA preferred.
Qualifications
Education:
Bachelor's Level Degree (Required), Master's Level Degree
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
For most roles, employees are encouraged to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here.
Requisition compensation:
222000
to
300000