Senior AI Software Engineer

Accenture Federal ServicesSan Diego, CA
$115,300 - $160,100

About The Position

We are looking for a Senior AI / Software Platform Engineer to help drive the integration of AI-assisted development workflows into a large-scale enterprise Linux environment. This role is focused on practical AI application within software engineering, including code intelligence, developer tooling, requirements-driven development, and AI-assisted modernization of a large legacy codebase consisting primarily of C/C++ with additional modern languages and frameworks. The ideal candidate is a strong software engineer first, with hands-on experience integrating and operationalizing modern AI/LLM technologies within real-world development environments.

Requirements

  • 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
  • Advanced C/C++ experience
  • 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
  • Must have an active secret federal security clearance

Nice To Haves

  • 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

Responsibilities

  • Design and implement internal AI-assisted software engineering workflows
  • Build and maintain AI infrastructure and developer tooling
  • Develop code intelligence and retrieval systems for large codebases
  • Integrate LLMs into development workflows, CI/CD pipelines, and GitLab processes
  • Support requirements-driven development and AI-assisted code generation
  • Improve developer productivity through AI-enhanced tooling and automation
  • Work closely with senior engineers and system SMEs to safely modernize legacy systems
  • Evaluate and operationalize open-source and commercial AI models
  • Develop secure internal AI APIs and services
  • Help define long-term AI engineering strategy and architecture

Benefits

  • hands-on experience
  • certifications
  • industry training
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