AI Systems Architect (Full-Stack)

MPF Federal, LLC; United States; On-site; USD 150,000 - 180,000; Full time

Benefits offered by this job

Medical benefits

PTO

Holiday pay

Job summary

MPF Federal, LLC is searching for a Lead AI Systems Architect to design and develop pioneering AI applications. Ideal candidates will have extensive experience in full-stack development, specifically in AI/ML integration, and a track record of building solutions in complex, secure cloud environments.

This opportunity involves collaborating across departments and delivering rapid, impactful results while working against stringent regulations. U.S. Citizenship is required, and a competitive benefits package is included.

Qualifications

• 10+ years in full-stack development, with at least 4 years focused on AI/ML integration.
• Proven success in secure, multi-tenant cloud environments.
• Experience designing unified data stacks for real-time interactions.
• Track record of developing autonomous AI agents.
• Proficiency in Reinforcement Learning for decision-making.

Responsibilities

• Lead design and development of AI-driven tools across AWS, Azure, and Google Cloud.
• Build products ensuring operational discipline across cloud ecosystems.
• Design asynchronous APIs for live data ingestion.
• Deliver seamless application performance across a multi-cloud landscape.

Skills

Full-stack development

AI/ML integration

Cloud environments

Data synchronization

Reinforcement Learning

Real-time system updates

Job 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)

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.
• Design, create and deploy applications for internal and external use.
• 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.
• Collaborate across all business departments.
• 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.

Requirements

• 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.

Benefits

• 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.