AI / ML Engineer

The role

This role supports the hands-on development and support for integrating an Agentic AI system with existing data platforms. The focus is on data integrations, the query execution layer, and the implementation of agentic workflows and orchestration logic.

What you will do

• Develop retrieval pipelines (metadata indexing, embeddings, hybrid search).
• Package the system into deployable services.
• Develops agent tools for structured queries, semantic search, and workflow actions.
• Build ingestion and indexing pipelines into the data lake and vector store.
• Implement APIs, microservices, and backend logic.
• Optimize query routing, caching, and grounding strategies.
• Integrate authentication, authorization, and auditing.
• Support prototyping, demos, and pilot deployments.

Required qualifications

• 4 years of experience with data & AI
• Experience with Python, APIs/microservices, cloud services
• Understanding of DevOps tools and principals
• Active TS/SCI with polygraph clearance

Nice to have

• Experience with Model Context Protocol
• Experience with agent frameworks, data engineering, vector databases, SQL engines, distributed systems, RAG
• Bachelors degree

Benefits

• certifications
• industry training

Before you apply

• Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
• Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.

About the company

Accenture Federal Services is a technology company within global Accenture that helps the US federal government. Its 13,000+ people work across defense, national security, public safety, civilian, and military health organizations.