Lead GenAI Agent Developer

Lead GenAI Agent Developer page is loaded## Lead GenAI Agent Developer remote type:
Flex locations:
Reston, VAtime type:
Full time posted on:
Posted Todayjob requisition :
JR1775

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to home ownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.

Job Description
** THE IMPACT YOU WILL MAKE
** As a Lead GenAI Agent Developer , you will serve as a subject matter expert to drive the engineering needs of the LLM platform, including the GenAI Gateway (Portkey), AWS AI services (AWS Bedrock and foundational models), observability, and customer support for internal and external applications.

You will lead full stack development efforts across AI platform components, integrating cloud-native services, enhancing monitoring and telemetry, and supporting application teams consuming LLM capabilities. The ideal candidate will bring deep expertise in both front-end and back-end engineering, cloud infrastructure, and AI service integration, with a strong focus on building resilient, scalable, and secure systems.

The Lead GenAI Agent Developer role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
* Lead engineering efforts for the GenAI Gateway platform, focusing on scalability, reliability, and integration with enterprise AI services.
* Architect and optimize solutions using AWS services, including Bedrock and other foundational models.
* Enhance observability across platform components to ensure proactive monitoring, issue resolution, and performance tuning.
* Provide technical leadership and support for the Fannie Mae application, ensuring seamless integration and high-quality customer experience.
* Collaborate with cross-functional teams to align platform capabilities with business needs and AI adoption strategies.
* Build secure integrations (via APIs, MCP, and connectors) with internal data sources (e.g. SharePoint, Confluence, Jira, Service Now).
* Manage versioning, testing, and deployment pipelines for custom GPTs, MCPs, Agents and plug-ins.
* Optimize performance and reliability — monitoring usage, latency, and API costs.
* Mentor and guide engineering teams, fostering a culture of innovation, accountability, and continuous improvement.
** THE EXPERIENCE YOU BRING TO THE TEAM
***
* Qualifications:

** Minimum Required Experiences
* 4 years
* Proven experience in platform engineering, cloud architecture (preferably AWS), and AI/ML service integration.
* Strong understanding of Large Language Models, observability tools and practices.
* Experience leading hybrid teams (FTEs and contractors).
* Excellent communication and stakeholder management skills.
* Passion for building scalable, secure, and customer-centric AI platforms.

Desired Experiences
* Bachelor degree or equivalent

Salary Range: $138,000 to $180,000 a year#LI-Hybrid#LI-SB1

Qualifications Angular, Java Frameworks, JavaScript, Python Frameworks

Education:

Bachelor's Level Degree (Required)
The future is what you make it to be. Discover compelling opportunities at  most roles, employees are expected 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.

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