> Markdown version of [/jobs/ext/1405954-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/1405954-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI / ML Engineer

- **Company:** Accenture
- **Location:** Chantilly, VA, United States
- **Experience:** Experienced
- **Salary:** $120,500.0 - $221,800.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Information Engineering, Data Integration, DevOps, Distributed Systems, Python (Programming Language), Cloud Services, Search Technologies, SQL Databases, Systems Integration, Multi-Agent Systems, Caching, Backend, Data Lakes, Data Management, Virtual Agents, Microservices
- **Published:** July 23, 2026
- **Apply:** https://dejobs.org/x/x/1B0A7E17A3024B6EBA865FE26AD57073/job/

## About the Role

* 4 years of experience with data & AI
 * Experience with Python, APIs/microservices, cloud services
 * Understanding of DevOps tools and principals

Nice to have:

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

Security Clearance:

 * Active TS/SCI with polygraph clearance

## Description

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


## Related Videos

- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster)
- [Navigating the AI Wave in DevOps](https://www.wearedevelopers.com/videos/853-navigating-the-ai-wave-in-devops)
- [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus)
- [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)