AI Architect
Accenture Federal Services
Job Overview
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Job Description
About Accenture Federal Services
At Accenture Federal Services, our primary focus is empowering the US federal government to enhance national strength and safety, and improve the lives of its citizens. Our team of over 13,000 professionals is dedicated to leveraging technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.
Join Accenture Federal Services, a technology company within global Accenture, recognized as a Glassdoor Top 100 Best Place to Work. We cultivate a collaborative and supportive environment where you can belong, grow, learn, and thrive through hands-on experience, certifications, industry training, and more.
Be part of a team that drives positive, lasting change, advancing critical missions and government initiatives!
The Role: AI Architect
As an AI Architect, you will lead the end-to-end technical design, development, and implementation of an agentic AI system. This system is designed to orchestrate user queries across diverse data sources. Your responsibilities include defining the comprehensive system architecture, selecting and governing AI/ML and platform technologies, and ensuring the solution is highly scalable, secure, and ready for production deployment. You will collaborate closely with development, DevOps, and data engineering teams to translate project requirements into an extensible AI architecture.
Required Experience and Skills
- 8 years of experience with AI systems and Agentic systems
- 4 years experience with AI and/or Data
- Experience designing and deploying LLM-based systems, including RAG (Retrieval-Augmented Generation), tool-calling, and multi-agent patterns
- 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 systems for traceability and reliability
- Proficiency in Python
- Experience with agent frameworks
- Expertise in data engineering principles
- Familiarity with APIs/microservices
- Experience with vector databases
- Knowledge of SQL engines
- Understanding of distributed systems
- Experience with cloud services
- Familiarity with DevOps tools and principles
Nice to Have
- Experience with Model Context Protocol
- Bachelors degree
Security Clearance
Applicants must possess an active TS/SCI with polygraph clearance.
Key skills/competency
- AI Architecture
- Agentic Systems
- LLM Deployment
- RAG Patterns
- Multi-agent AI
- Python Programming
- Vector Databases
- Cloud Services
- Microservices
- DevOps Principles
How to Get Hired at Accenture Federal Services
- Research Accenture Federal Services' mission: Study their commitment to strengthening the US federal government and its diverse client base in defense, national security, and public safety.
- Tailor your resume for AI Architect roles: Highlight extensive experience in designing and deploying LLM-based systems, agentic AI, Python, vector databases, and cloud services, directly addressing job requirements.
- Prepare for a technical deep dive: Be ready to discuss scalable AI architecture design, RAG implementations, prompt strategy management, and your expertise in distributed systems during interviews.
- Emphasize your security clearance: Clearly state your active TS/SCI with polygraph on your resume and in discussions, as this critical requirement is non-negotiable for the role.
- Showcase problem-solving and collaboration: Provide concrete examples of leading complex technical projects and successfully partnering with development, DevOps, and data engineering teams.
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