AI Architect

AI Architect

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Lead the end-to-end technical design, development, and implementation of an agentic AI system to orchestrate user queries across heterogeneous data sources. The architect is responsible for defining the overall system architecture, selecting and governing AI/ML and platform technologies, and ensuring the solution is scalable, secure, and production-ready. The architect partners closely with development, Dev Ops and data engineering teams to translate project requirements into an extensible AI architecture.

Must have experience designing and deploying LLM-based systems, including RAG, tool-calling, and multi-agent patterns, as well as a strong understanding of modern AI architectures such as embeddings, vector search, orchestration layers, memory, and reasoning workflows. Proven ability to evaluate models, manage prompt strategies, and design system for traceability and reliability.

Must have:

• 8 years of experience with AI systems and Agentic systems
• 4 years experience with AI and/or Data
• Experience with Python, agent frameworks, data engineering, APIs/microservices, vector databases, SQL engines, distributed systems, cloud services, RAG
• Understanding of Dev Ops tools and principals

Nice to have:

• Experience with Model Context Protocol
• Bachelors degree

Security Clearance:

• Active TS/SCI with polygraph clearance

The base pay range for this position in the specified locations is $130,200 - $265,300 USD.

Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.