Applied AI Engineer

United States·TysonsFull-timemid

OtherApplied Ai Engineer

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Company Overview NobleReach Foundation is a civic leadership platform committed to rekindling a spirit of national service across all career stages.

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OtherApplied Ai Engineer

NobleReach Foundation is a civic leadership platform committed to rekindling a spirit of national service across all career stages. We believe the greatest challenges facing America demand technology, science, and business leaders fluent in government, industry, and academia—leaders who belong across sectors, not confined to one. We’re a hub where current and aspiring leaders can connect to opportunities that can meet their ambition for personal success and their passion to impact the world through public service.

Reporting to the Applied AI Manager, the Applied AI Engineer is an individual contributor who owns AI agents and LLM-powered solutions end-to-end, from scoping with users, to prototype, to production. This role moves fast. You will be expected to ship working prototypes quickly, gather feedback directly from the people using your agents, and iterate. You will also be expected to challenge assumptions, propose better approaches, and bring your own point of view rather than wait for detailed specs. The Applied AI Engineer works closely with the Applied AI Manager and cross-functional partners to deliver reliable, secure, and cost-effective AI solutions that create measurable value for NobleReach.

Design, build, and deploy LLM-powered agents and workflows that automate or augment internal business processes

Translate business requirements into working technical solutions

Rapidly prototype new agent concepts using current AI development platforms and frameworks

Iterate on prompts, tools, and agent architectures based on user feedback and performance data

Write clean, maintainable Python code to support AI agents, workflows, and supporting infrastructure

Integrate AI systems with internal and third-party APIs, including Microsoft 365, Salesforce, and other data platforms

Build reusable components, scripts, and utilities that accelerate future agent development

Follow version control, code review, and documentation best practices

Test AI agents for accuracy, consistency, and edge cases before and after deployment

Adhere to NobleReach's AI Governance Policy and security standards in all AI work

Contribute to evaluation metrics, test cases, and documentation for production AI systems

Monitor deployed agents and support ongoing improvements to performance, reliability, and cost

Support end users of AI agents with onboarding, troubleshooting, and feedback collection

Partner with AI Ambassadors and department stakeholders to understand workflow pain points

Assist the Applied AI Manager with brown bag sessions, demos, and internal training materials

Document agent behavior, usage guidelines, and lessons learned for internal reference

Stay current on advances in LLMs, agent frameworks, and applied AI best practices

Experiment with new tools and techniques identified through the Internal AI Competition and other channels

Share findings and recommendations with the Applied AI Manager to inform the broader AI roadmap

Bring back insights from conferences, courses, and community events to strengthen the AI program

Bachelor's degree in artificial intelligence, data science, computer science, or a related technical field

Proficiency in Python and hands-on experience building with LLM APIs, including prompt engineering, tool use, and basic agent or workflow patterns, through coursework, research, internships, or personal projects

Demonstrated ability to move quickly from idea to working prototype, using AI-assisted development tools like Claude Code or similar

Willingness to ask questions, take feedback, and propose better approaches when you see them, even when it means pushing back on your manager

Strong written and verbal communication skills, with the ability to explain technical tradeoffs to non-technical stakeholders

Experience building something that real users actually used, whether a published project, a shipped internship deliverable, a hackathon winner, or a research tool adopted by a lab

Exposure to evaluation, testing, or observability for LLM systems

Familiarity with integrating APIs across tools such as Microsoft 365, Salesforce, or similar business platforms

Entrepreneurial mindset, genuine curiosity, and a desire to make an impact

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.