Job Description: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.
Environment:- Large enterprise software platform (~6M+ LOC)
- Primarily C/C++
- Red Hat Enterprise Linux environment
- GitLab-based development workflows
- GPU-enabled internal AI infrastructure
- Complex legacy and modern hybrid systems
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
Required Skills:- 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
Preferred Skills:- 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
Clearance:- Must have an active secret federal security clearance
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. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
The pay range 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 is:
$115,300-$160,100 USD
