AI Solutions Architect

Ampcus • Chantilly, VA

73d

About The Position

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team. We are seeking a technically skilled and experienced AI Solutions Architect to lead the design, development, and operations & maintenance (O&M) of a scalable, secure, and auditable AI platform. This platform will support models, AI/ML Ops pipelines, and end-to-end infrastructure for a prominent independent federal agency focused on financial system stability. The architect will play a pivotal role in establishing the foundation for AI-driven automation, decision support, and innovation. This includes integrating Agentic AI, Generative AI (GenAI), and traditional AI technologies to enhance operational efficiency, policy analysis, and public engagement.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field.
• 8 years of experience in AI architecture, including hands-on development of ML/AI systems.
• Proven experience with GenAI platforms (e.g., Claude, Bedrock) and Agentic AI frameworks.
• Strong understanding of traditional AI/ML techniques, AI/MLOps, and data engineering.
• Familiarity with federal IT security standards and data governance practices.
• Excellent communication and stakeholder engagement skills.

Nice To Haves

• Experience in public sector or regulated environments.
• Knowledge of economic modeling or financial systems.
• Familiarity with LLM fine-tuning, retrieval-augmented generation (RAG), and multi-agent orchestration.
• Experience with cloud-native AI platforms.

Responsibilities

• Define and drive the AI architecture strategy aligned with the client's mission and regulatory responsibilities.
• Collaborate with senior leadership to identify high-impact AI use cases across departments.
• Lead the development of an enterprise AI roadmap encompassing platform capabilities, governance, and scalability.
• Architect and oversee the implementation of a secure, scalable AI platform supporting diverse workloads (e.g., large language models, NLP, predictive analytics).
• Integrate Agentic AI systems capable of autonomous task execution and decision-making within defined policy boundaries.
• Design and deploy GenAI models for document summarization, policy drafting, and stakeholder communication.
• Ensure seamless interoperability with existing data infrastructure, cloud environments, and analytical tools.
• Build intelligent automation pipelines using traditional AI (e.g., rule-based systems, ML models) to streamline internal processes.
• Develop reusable AI components and APIs to support cross-functional teams.
• Establish monitoring and feedback mechanisms to ensure model performance, fairness, and compliance.
• Implement robust AI governance frameworks addressing ethical use, bias mitigation, and regulatory compliance.
• Collaborate with legal and policy teams to ensure AI systems adhere to federal standards and privacy regulations.
• Contribute to the development of internal policies for responsible AI use.
• Partner with data scientists, engineers, economists, and policy analysts to co-create AI solutions.
• Mentor junior staff and promote AI literacy across the organization.
• Represent the client in inter-agency AI initiatives and public forums.

What This Job Offers

• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree