More jobs:
AI Engineer
Job in
Arlington, Arlington County, Virginia, 22212, USA
Listed on 2026-05-29
Listing for:
Accenture
Full Time
position Listed on 2026-05-29
Job specializations:
-
IT/Tech
AI Engineer, Systems Engineer
Job Description & How to Apply Below
Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.
Join us to drive positive, lasting change that moves missions and the government forward!
** The work*
* As an AI Engineer in this role, you will drive the operationalization of advanced AI and agentic AI systems within production mission environments. Your work will center on implementing a modern Hub-and-Spoke architecture designed to accelerate enterprise AI adoption, support mission-critical applications, and enable robust AI governance.
You will be responsible for integrating AI solutions with Dev Sec Ops , data engineering, platform engineering, and cybersecurity practices, ensuring seamless delivery and continuous monitoring of scalable AI-powered software. Your contributions will directly impact the deployment of agentic AI systems, orchestration frameworks, and operational workflows tailored to complex, real-world missions.
*
* Key responsibilities:
*
* + Design, develop, and operationalize AI and agentic AI systems for production mission environments
+ Implement and optimize AI/ML production engineering workflows, including LLMOps and MLOps best practices
+ Architect and deploy Retrieval-Augmented Generation (RAG) solutions and AI orchestration frameworks
+ Manage Kubernetes-based AI deployments and ensure seamless integration with OpenAI-compatible APIs
+ Develop and maintain Python-based AI applications, focusing on GPU inference optimization
+ Leverage tools and frameworks such as Lang Graph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions
+ Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability
+ Collaborate with cross-functional teams in AI, Dev Sec Ops , data engineering, platform engineering, and cybersecurity
+ Support enterprise AI governance, continuous monitoring, and observability for mission-critical applications
+ Contribute to the delivery of scalable, secure, and reliable AI software within a modern Hub-and-Spoke architecture
+ Participate in the integration of operational workflows to accelerate AI adoption and mission impact
** Here's what you need:*
* + Experience AI/ML production engineering, LLMOps or MLOps, and the deployment of Retrieval-Augmented Generation (RAG) architectures.
+ Familiarity with Kubernetes-based AI deployments, OpenAI-compatible APIs, and Python development
+ Experience in GPU inference optimization and working within NVIDIA GPU ecosystems
** Nice to have:*
* + Exposure to tools such as Lang Graph, Semantic Kernel, vLLM, Ollama, Ray, and vector databases
+ Experience in integrating observability, cybersecurity, and scalable software delivery into AI platforms will help you succeed in supporting the continuous evolution and governance of enterprise AI systems
** Eligibility requirements:*
* + US Citizen
+ An active TS/SCI federal security clearance is required
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of
** California, Colorado, Hawaii, Illinois, Maryland,*
* ** Massachusetts,*
* ** Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland** . The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits.
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