AI Engineer

The role

This person will drive the integration of AI-assisted development workflows into a large-scale enterprise Linux environment. The role focuses on practical AI application including code intelligence, developer tooling, and modernization of a legacy codebase.

What you will do

• Lead the design and delivery of localization strategies, air-gapped environments, and on-premises localized solutions.
• Build and optimize high-performance inference pipelines using vLLM and modern GPU-serving frameworks.
• Develop agentic AI workflows leveraging orchestration frameworks, tool calling, and retrieval-augmented generation (RAG).
• Integrate LLMs, vector databases, APIs, and enterprise systems into production applications.
• Collaborate with software engineers and platform teams to productionize AI prototypes and services.
• Improve model performance, throughput, latency, scalability, and operational efficiency.
• Implement monitoring, observability, evaluation, and testing frameworks for AI systems.
• Develop APIs, backend services, and automation workflows supporting AI-driven products.
• Evaluate emerging AI technologies, frameworks, and developer tooling.
• Contribute to AI platform architecture, deployment standards, and engineering best practices.

Required qualifications

• 4 years of software development with experience in any of the following:
• Strong Linux experience (Red Hat / Enterprise Linux required)
• Experience with LLMs, RAG systems, embeddings, or AI-assisted tooling
• Experience with GitLab workflows and CI/CD
• Strong Python development experience
• Experience with APIs, backend systems, and automation
• Strong understanding of software architecture and large-scale systems
• Active Secret security clearance is required, and must be willing and able to upgrade to TS/SCI

Nice to have

• GPU infrastructure experience
• Experience deploying or operating local/open-source models
• Experience with vector databases and semantic search
• Experience with developer tooling or IDE integrations
• Experience with AI evaluation/testing frameworks
• Experience with secure/offline AI environments
• Familiarity with code indexing and static analysis systems
• Ability to work independently and drive technical initiatives
• Strong debugging and problem-solving skills
• Experience working with legacy systems and modernization efforts

Benefits

• Certifications
• Industry training
• Hands-on experience

Before you apply

• Active Secret security clearance is required
• Must be willing and able to upgrade to TS/SCI
• Applicants in the US must have work authorization that does not now or in the future require sponsorship of a visa
• Candidates currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible

About the company

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