MPF Federal

Compensation

Full Description

Lead AI Systems Architect (Full-Stack) MPF Federal is seeking a hands-on, Lead AI Systems Architect to design and build sophisticated AI applications from the ground up. This role is for a builder who thrives in ambiguity, takes ownership of architectural decisions, and is eager to deliver high-impact products at speed within government and heavily regulated environments. COMPENSATION: $150k-$180k (Depends on verified experience) In this role you will own the end-to-end development of AI-enabled applications that bridge the gaps between complex data ingestion, machine learning models, and advanced front-end visualizations. What You’ll Do Architect & Build from Scratch: Lead the design and development of AI-driven tools optimized for deployment across AWS, Azure, and Google Cloud. Execute in Multi-Cloud Governance Structures: Build products that ensure operational discipline and robust governance across diverse cloud ecosystems. Create Advanced Full-Stack Orchestration: Develop end-to-end applications where the frontend serves as a real-time Decision Support Interface and the backend functions as a high-concurrency engine. Exploit Real-Time Data & API Architecture: Design asynchronous APIs capable of handling live, multi-modal data ingestion from diverse sources. Employ Stateful System Design: Architect complex system states where variables are collected, analyzed, and orchestrated in real-time to drive predictive outcomes. Deliver Cloud-Agnostic Deployment: Ensure seamless application performance and portability across a multi-cloud landscape. Required Qualifications 10+ years in full-stack development, with at least 4 years specifically focused on AI/ML integration. Proven success building and deploying applications in secure, multi-tenant cloud environments. Experience designing unified data stacks that synchronize real-world human interactions with virtual system states in real-time. A track record of developing autonomous AI agents using frameworks such as LangGraph, AutoGen, or CrewAI to orchestrate complex, multi-step workflows. Experience building pipelines for diverse data types (text, telemetry, and unstructured audio) to drive real-time system updates. Proficiency in designing agent-based models and utilizing Reinforcement Learning to simulate complex decision-making cycles. Deep LLM & Vector expertise, leveraging LLMs for dynamic content generation and utilizing vector databases to manage contextual memory. Demonstrated ability to operate as a self-starter, managing technical debt and architectural trade-offs independently. Experience navigating the technical and security constraints of government or heavily regulated industries. U.S. Citizenship Required. Why MPF Federal Build real AI products with real-world federal impact. High trust, low bureaucracy; engineers are empowered to build. Opportunity to shape greenfield systems and MVPs, not just maintain legacy tools. Work alongside a team that values execution, curiosity, and ownership. MPF Federal is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status or on the basis of disability. We offer a competitive compensation package including a competitive salary, medical benefits, PTO, holiday pay and more.