Job Description
About the National Fair Housing Alliance The National Fair Housing Alliance (NFHA) has an opening for a dynamic, results-oriented visionary to serve as an Agentic AI Engineer within its Responsible AI Lab . NFHA leads the fair housing movement and is the nation's only national civil rights organization exclusively dedicated to eliminating all forms of housing discrimination and ensuring equitable housing opportunities for all people and communities. We have a diverse, experienced, mission-driven, and impactful team that has developed equity-based policies at the federal, state, and local levels to expand fair housing opportunities; brought precedent-setting litigation to eliminate some of the most heinous forms of housing discrimination; conducted groundbreaking research to promote equitable solutions; and invested millions of dollars in underserved communities. We have solid relationships, built on trust, with national, regional, and local organizations, and we effectively draw upon these connections to reach vital goals.
We are game changers that millions of people rely upon to advance fair housing in the communities where they live. Where you live matters. It affects every aspect of your life and determines whether you have access to resources—like broadband service, healthcare facilities, fresh food, air, and water, and well-resourced schools—we all need to thrive. Despite important existing federal laws, more than 4 million acts of housing discrimination occur in the U.S. each year, and housing inequality remains stubbornly entrenched. That is why—through its education and outreach, member services, public policy, and advocacy, housing and community development, responsible AI, enforcement, and consulting and compliance programs—NFHA is dismantling longstanding barriers to equity, rooting out bias, and building diverse, inclusive, well-resourced communities. To learn more about NFHA, please visit .
Position Summary We are seeking an innovative and technically adept Agentic AI Engineer to spearhead the development and deployment of next-generation agentic AI systems. This role is pivotal in transitioning from traditional AI models to dynamic, autonomous agents capable of reasoning, tool integration, and multi-step problem-solving.
The ideal candidate will possess a deep understanding of AI design patterns, including structured outputs, function calling, and intelligent workflow orchestration. The candidate will be responsible for architecting scalable infrastructures that support high-throughput, low-latency operations, enabling the deployment of numerous models with minimal resource footprints. This position is crucial in moving AI initiatives from prototypes to operational systems that deliver measurable business outcomes while upholding performance and ethical standards.
Essential Job Functions Consultation - Engage with stakeholders – internal and external – to identify opportunities where agentic AI can drive value.
- Translate complex requirements into technical specifications for AI solutions.
- Provide expert guidance on the potential of agentic AI to enhance customer experiences and operational efficiency.
- Collaborate with stakeholders to define success metrics, ensuring AI solutions align with organizational goals and compliance standards.
- Conduct workshops and training sessions to educate stakeholders on agentic AI capabilities and best practices.
System Design - Architect agentic AI systems leveraging design patterns like structured outputs, function calling, and intelligent workflow orchestration.
- Design scalable infrastructures capable of supporting high-performance AI operations.
- Develop frameworks for integrating multiple AI models and tools seamlessly.
- Ensure system designs prioritize security, compliance, and ethical considerations.
- Evaluate and select appropriate technologies and platforms to support AI system requirements.
System Development and Implementation - Lead the development of agentic AI solutions from concept to deployment.
- Implement robust testing protocols to ensure system reliability and accuracy.
- Collaborate with cross-functional teams to integrate AI systems into existing workflows.
- Optimize AI models for performance, scalability, and resource efficiency.
- Stay abreast of emerging technologies to continuously enhance system capabilities.
Deployment and Continuous Monitoring - Oversee the deployment of agentic AI systems across environments, ensuring stability and performance at scale.
- Implement tools to track system performance and compliance in real time.
- Analyze system metrics to identify and resolve bottlenecks, ensuring consistent delivery of outcomes.
- Update workflows based on continuous feedback and evolving needs.
- Maintain system security and data privacy standards during deployment and ongoing operations.
Documentation & Communication - Create comprehensive technical documentation outlining system architecture, design patterns, and implementation details.
- Communicate technical concepts and system functionalities to non-technical stakeholders effectively.
- Develop user guides and training materials to support adoption and usage of AI systems.
- Communicate progress, challenges, and outcomes to stakeholders through regular reports and presentations.
- Collaborate with cross-functional teams to ensure alignment on project goals, timelines, and deliverables.
Qualifications and Competencies Required Education & Experience: - Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 2 years of experience in AI system development, with at least six months focusing on agentic AI architectures.
- Proven track record of deploying AI solutions in production environments.
- Experience with cross-functional teams, collaborating with stakeholders from diverse departments.
- Continuous learning mindset, staying updated with the latest advancements in AI technologies.
Required Technical Skills: - Proficiency in modern programming languages for agentic AI engineering. (Python, Mojo, Rust, Go, Julia, and TypeScript are preferred.)
- Experience with machine learning algorithms, including supervised, unsupervised, and reinforcement learning techniques.
- Knowledge of agentic AI systems, including autonomous agents, multi-agent systems, and decision-making processes.
- Familiarity with cloud platforms for deploying AI solutions. We use AWS.
- Understanding of data structures and algorithms, ensuring efficient and optimized AI system performance.
Required Soft Skills: - Excellent communication skills, both verbal and written, to convey technical concepts to non-technical stakeholders.
- Demonstrated appreciation for civil rights, fair housing, or public interest tech.
- Team collaboration, working effectively within multidisciplinary teams to achieve common goals.
- Adaptability, thriving in a fast-paced and evolving technological landscape.
- Ethical awareness, ensuring AI solutions align with organizational values and societal norms.  
Application Process: Interested applicants should submit a resume, a cover letter, and a link to a sample agentic project that is available on GitHub or other similar platforms, such as GitLab, Bitbucket, or SourceForge. Applications without any of the required materials will not be considered. No telephone calls, please.
The salary range for this role is between $90,000 – $130,000. Salary is commensurate with experience.
The earliest start date for this position is August 4, 2025.
Affirmative Action/Equal Opportunity Statement NFHA values and encourages diversity in its workforce. NFHA supports affirmative action and is dedicated to promoting equal employment opportunities. NFHA does not discriminate on the basis of race, color, religion, national origin, ancestry, citizenship, sex, age, marital status, personal appearance, sexual orientation, family responsibilities, disability, matriculation, political affiliation, or any other category or characteristic protected by the laws of the United States or the District of Columbia.
Job Tags
Full time, Local area,