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AI Engineer

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: Accenture Federal Services
Full Time position
Listed on 2026-05-29
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100200 - 203400 USD Yearly USD 100200.00 203400.00 YEAR
Job Description & How to Apply Below

Overview

As an AI Engineer at Accenture Federal Services, 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.

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
Required Qualifications
  • Experience in AI/ML production engineering, LLMOps or MLOps, and 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
Preferred Qualifications
  • Exposure to tools such as Lang Graph, Semantic Kernel, vLLM, Ollama, Ray, and vector databases
  • Experience integrating observability, cybersecurity, and scalable software delivery into AI platforms to support continuous evolution and governance of enterprise AI systems
Eligibility Requirements
  • US Citizen
  • Active TS/SCI federal security clearance required
Compensation

$100,200—$203,400 USD for 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. Compensation varies based on location, role, skill set, and experience.

Equal Employment Opportunity Statement

Accenture Federal Services is an Equal Employment Opportunity employer. We do not discriminate on the basis of age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity, or expression, genetic information, marital status, citizenship status, or any other basis protected by federal, state, or local law. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.

Accommodation

Statement

Accenture Federal Services is committed to providing reasonable accommodation for persons with disabilities or religious observances during the recruiting process and for those who are hired. If you require accommodation, please contact your recruiter.

Work Authorization

Applicants must have work authorization in the United States that does not require future visa sponsorship.

Candidate Eligibility

Candidates who are currently employed by a client or affiliated business of Accenture may not be eligible.

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