Fannie Mae

Advisor Software Engineer (AI/ML)

Fannie Mae$155K — $209K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of software engineering experience with scalable enterprise applications.
  • Proficiency in Python for backend services and AI/ML applications.
  • Strong system design and architecture skills for secure and maintainable solutions.
  • Experience with API-driven and microservices architectures.
  • Hands-on proficiency in AWS cloud architecture and services.

Responsibilities

  • Assess customer needs across various projects and resolve conflicts.
  • Design and develop software solutions while leading teams.
  • Implement new software technologies and manage simultaneous tasks.
  • Maintain existing software and ensure high performance.
  • Collaborate with stakeholders to align solutions with business goals.

Benefits

  • Comprehensive health and life insurance plans.
  • Incentive program participation.
  • Benefits supporting physical, mental, emotional, and financial well-being.
Full Job Description


Job Description

As a valued contributor to our team, you will design, produce, test, or implement software, technology, or processes across multiple projects, programs, or products, as well as create and maintain IT architecture, large scale data stores, and cloud-based systems.

THE IMPACT YOU WILL MAKE

The Advisor Software Engineer (AI/ML) 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:
  • Determine the needs of the customer groups across multiple projects, programs, or products while identifying and resolving conflicting or complementary needs across customer groups.
  • Design and develop software solutions to meet needs and may also lead matrixed teams.
  • Apply extensive expertise in process-driven approach in designing solutions.
  • Implement new software technology and coordinate simultaneous implementation tasks across teams.
  • Oversee the maintenance of existing software

There is 1 opening for this position which can be based in our Reston, VA office.

An Advisor role at Fannie Mae is on the same level as a Manager, but in an IC capacity.

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences
  • 6 years of hands-on software engineering experience designing, developing, and maintaining scalable enterprise applications and cloud-native solutions.
  • Strong proficiency in Python development, including backend services, APIs, automation, data processing workflows, and production-ready AI/ML applications.
  • Strong skills in system design and architecture, including scalable, resilient, secure, and maintainable solution design.
  • Experience building API-driven solutions, including REST APIs, microservices, service orchestration, secure API development, and enterprise system integrations.
  • Hands-on experience with AWS cloud-native development, including serverless, event-driven, containerized, and distributed application patterns.
  • Experience with SQL and data platforms, including PostgreSQL, Snowflake, or similar relational and analytical database technologies.
  • Deep understanding of the software development lifecycle, including requirements analysis, design, development, testing, deployment, production support, and maintenance.
  • Experience with engineering best practices, including secure coding, code reviews, automated testing, CI/CD, observability, performance tuning, and production issue resolution.
  • Experience collaborating with technical and business stakeholders, including translating business needs into technical solutions and communicating risks, trade-offs, and delivery impacts.


Desired Experiences
  • Bachelor's or master's degree in Computer Science, Engineering, Information Technology, Data Science, Machine Learning, Artificial Intelligence, or a related field.
  • Experience designing and delivering AI-enabled enterprise software solutions, including GenAI applications, intelligent automation, AI-assisted workflows, and AI-driven decision support.
  • Experience with MLOps, vector databases, embedding-based search, MCP-based tool integration, and enterprise AI governance practices.
  • Experience writing technical papers, invention disclosures, patent-supporting documentation, or reusable engineering playbooks for emerging technology solutions.
  • Experience with testing strategies and tools, including unit, integration, functional, regression, and performance testing.
  • Experience with Scaled Agile Framework, Agile methodology, cybersecurity vulnerability remediation, and enterprise delivery practices.
  • Strong relationship management skills with the ability to collaborate across stakeholders, influence outcomes, and support strategic enterprise technology initiatives.


AWS Cloud Technologies
  • Hands-on AWS software engineering experience, including application development using AWS service APIs, AWS CLI, AWS SDKs, and cloud-native deployment patterns.
  • Hands-on experience with core AWS services, including AWS Lambda, Amazon S3, Amazon EC2, Amazon API Gateway, IAM, CloudWatch, EventBridge, SQS, SNS, and Step Functions.
  • Experience with AWS AI/ML services, including Amazon SageMaker, Amazon Bedrock, and AWS-based model deployment or inference patterns.
  • Experience with containers and DevOps practices, including Docker, Kubernetes, ECS/EKS, CI/CD pipelines, automated testing, and release management.
  • Understanding of cloud security and compliance practices, including IAM, encryption, secrets management, vulnerability remediation, logging, and secure application design.


AI/ML and GenAI Technologies
  • Hands-on experience in machine learning, AI engineering, data science, or applied AI solution development.
  • Hands-on experience with Generative AI and Large Language Models, including OpenAI, Anthropic, Cohere, Amazon Bedrock, or similar enterprise AI platforms.
  • Strong proficiency in Python and AI/ML libraries, including PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, and related ML frameworks.
  • Experience building Retrieval-Augmented Generation solutions, including embeddings, vector databases, semantic search, document retrieval, chunking strategies, prompt grounding, and response evaluation.
  • Experience with LLM application patterns, including prompt engineering, guardrails, model evaluation, tool/function calling, agentic workflows, and responsible AI considerations.
  • Familiarity with AI application frameworks and tools, such as LangChain, LlamaIndex, FastAPI, MCP tools, vector databases, and API-based AI service integration.
  • Experience with model development and deployment practices, including feature engineering, model serving, model monitoring, MLOps, and productionizing AI/ML capabilities.


Leadership and Innovation Skills
  • Proven experience leading technical delivery within software engineering teams, including solution direction, task assignment, progress monitoring, issue resolution, and delivery accountability.
  • Experience mentoring and coaching engineers, including technical guidance, code review feedback, design support, and professional development.
  • Ability to influence technical decisions and engineering practices, including architecture discussions, design trade-offs, quality improvements, and adoption of modern AI/ML and cloud engineering standards.
  • Experience partnering with product owners, architects, business stakeholders, risk, security, and operations teams to deliver solutions aligned with business outcomes and enterprise standards.
  • Ability to produce high-quality technical documentation, including architecture papers, solution design documents, technical white papers, AI/ML implementation guides, and executive-ready technical summaries.
  • Experience contributing to innovation artifacts, such as invention disclosures, patent-supporting technical writeups, proof-of-concept documentation, and publication-ready technical papers when applicable.


Enterprise Risk Technology - Software Engineering - Advisor

155,000.00 - 209,000.00

JR2645

Qualifications
Amazon Web Services (AWS), Amazon Web Services (AWS), Atlassian JIRA, AWS Machine Learning, Business Process Management Skills, Cloud Technology, Communicating in Technical Writing, Communication, Computer Vision, Configuration Management (CM), Coordination, Customer and Market Insights, Data Analysis Interpretation, Data Mining, Data Visualization, Enterprise Information Security Architecture, Gradient Boosting Algorithms, Identity Management (IdM), Internal Auditing, Knowledge Management, Machine Learning (AI), Model Explainability, Multi-modal Machine Learning Models, Natural Language Processing (NLP), Neural Networks Methods and Algorithms {+ 20 more}

Education:
Master's Level Degree: Artificial Intelligence and Robotics (Required)

The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.

For 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.

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:
155000
to
209000

About Fannie Mae

As the leading source of residential mortgage credit in the U.S. secondary market, Fannie Mae is supporting today's economic recovery and helping to build a sustainable housing finance system. They exist to provide reliable, large-scale access to affordable mortgage credit in all communities across the country at all times so people can buy, refinance, or rent homes. Fannie Mae is working to establish and implement industry standards‚ develop better tools to price and manage credit risk‚ build new infrastructure to ensure a liquid and efficient market and facilitate the collection and reporting of data for accurate financial reporting and improved risk management. Fannie Mae is committed to being their customers’ most valued business partner and delivering the products, services and tools their customers need to serve the entire market confidently, efficiently and profitably. Ultimately‚ Fannie Mae measures their progress not only by paying taxpayers and improving the housing finance system‚ but also by the difference they make in people’s lives.

Fannie Mae Careers

Join the vibrant team at Fannie Mae, where we are committed to solving the challenges of today's housing market while fostering inclusive growth and innovation. As a cornerstone of the American mortgage system, Fannie Mae offers unparalleled job opportunities that empower you to influence the future of housing finance. Work You’ll Do At Fannie Mae, you will collaborate with some of the brightest minds in the finance and technology sectors. Our mission is to ensure access to affordable housing for people across the United States, and your work here will contribute to that goal. With roles ranging from financial analysis to technology development, your career at Fannie Mae will be marked by growth, leadership, and the pursuit of excellence. Innovate and Lead Fannie Mae stands at the intersection of financial services and innovative technology solutions, making it an ideal place for those who are driven to explore new ideas and push boundaries. Our culture thrives on innovation and leadership, encouraging every team member to bring forward ideas that drive efficiency and effectiveness. Professional Growth and Development Career advancement at Fannie Mae is not just a possibility—it is an expectation. We are dedicated to the professional growth of our employees through robust training programs, leadership workshops, and continuous learning opportunities. Whether you are looking to sharpen your analytical skills, enhance your leadership capabilities, or dive deep into the housing market dynamics, Fannie Mae provides the resources to achieve your professional goals. Diversity and Inclusion At Fannie Mae, we believe that diversity fuels innovation. We are committed to fostering an inclusive environment where diverse voices are heard and valued. Through diversity training and a culture that celebrates unique perspectives, we ensure that all team members can contribute to their fullest potential. Join Our Team Explore the array of job opportunities at Fannie Mae, from internships for budding professionals to full-time positions for seasoned experts. We are hiring individuals who are passionate, curious, and eager to make a difference. Our team is looking for candidates who not only have the necessary skills but also embody our values of integrity, impartiality, and respect. Benefits and Perks Working at Fannie Mae comes with a comprehensive benefits package designed to support the health, well-being, and financial security of our employees and their families. From competitive health benefits and retirement plans to flexible working arrangements and wellness programs, we prioritize the well-being of our team members. Stay Connected Networking and staying connected are key components of building a successful career at Fannie Mae. Engage with us through various professional networking events, online communities, and social platforms to stay updated on new positions, company news, and industry trends. Apply Now Ready to take the next step in your career? Review our open positions, tailor your resume, and prepare for an interview that could set you on a path to a rewarding career at Fannie Mae. We are excited to see how your vision, skills, and enthusiasm can contribute to our team and the broader mission of affordable housing. Explore Fannie Mae Jobs Discover the exciting and impactful career paths available at Fannie Mae. Each position offers the opportunity to challenge yourself, contribute to a significant cause, and work within a culture that values innovation, leadership, and community impact. Join us in shaping the future of housing finance—apply today and be part of a team that is dedicated to making a difference.
Learn more about Fannie Mae
Size
7,400 employees
Industry
Founded
1938
NASDAQ

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