Accenture Federal Services
AI Engineer
About this role
Accenture Federal Services seeks an AI Engineer to integrate AI-assisted development workflows into large-scale enterprise Linux environments. You'll design and deploy AI/LLM solutions, optimize inference pipelines, and build agentic workflows while modernizing legacy codebases in a government context.
What you'll do
- Lead design and delivery of localization strategies and air-gapped AI solutions for enterprise clients
- Build and optimize high-performance inference pipelines using vLLM and GPU-serving frameworks
- Develop agentic AI workflows with orchestration, tool calling, and retrieval-augmented generation (RAG)
- Integrate LLMs, vector databases, and APIs into production applications and enterprise systems
- Implement monitoring, observability, evaluation, and testing frameworks for AI systems
- Collaborate with software and platform teams to productionize AI prototypes and drive architecture best practices
What they're looking for
- Python development
- Linux/Red Hat Enterprise Linux administration
- LLMs, RAG systems, and embeddings
- GitLab workflows and CI/CD
- API and backend system design
- GPU infrastructure and model deployment
- Vector databases and semantic search
- Large-scale systems architecture
Benefits
- Collaborative and inclusive workplace culture
- Hands-on experience and industry training opportunities
- Professional certifications and learning programs
- Work on mission-critical defense and national security projects
- Competitive compensation package
- Recognized as Glassdoor Top 100 Best Place to Work
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Accenture Federal Services
Accenture Federal Services builds and maintains mission-critical technology solutions for the U.S. federal government, including cloud infrastructure, enterprise systems integrations, and cyber defense tools. The company is hiring DevOps engineers, full-stack developers, SAP specialists, and test engineers to support classified and unclassified federal government projects.
- Website
- accenturefederal.com
Likely interview questions
- Describe your experience integrating LLMs or AI models into production systems—what challenges did you encounter and how did you solve them?
- Walk us through a time you optimized performance in a large-scale system; what metrics did you focus on and what was your approach?