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AI Architect

Accenturefederalservices · Chantilly, VA

remotesenior$130,200–$130,200Posted Jul 20, 2026PythonLLMRAGVector DatabasesMicroservicesSQLCloud Services

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About this role

**AI Architect** **About the Role** Lead end-to-end technical design, development, and implementation of agentic AI systems to orchestrate user queries across heterogeneous data sources. Define overall system architecture, select and govern AI/ML and platform technologies, and ensure solutions are scalable, secure, and production-ready. **Key Responsibilities** • Design and deploy LLM-based systems including RAG, tool-calling, and multi-agent patterns • Evaluate models and manage prompt strategies • Design systems for traceability and reliability • Partner with development, DevOps, and data engineering teams **Required Experience** • 8 years with AI systems and Agentic systems • 4 years with AI and/or Data • Proficiency in Python, agent frameworks, data engineering, APIs/microservices, vector databases, SQL engines, distributed systems, cloud services, and RAG • Understanding of DevOps tools and principles **Nice to Have** • Experience with Model Context Protocol • Bachelor's degree **Security Clearance** • Active TS/SCI with polygraph clearance required **Compensation** $130,200 – $265,300 USD (for select high-cost locations) **About Accenture Federal Services** A technology company within global Accenture, recognized as a Glassdoor Top 100 Best Place to Work. We serve the US federal government across defense, national security, public safety, civilian, and military health organizations.

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