Accenture
Generative AI Applications Engineer (Agents & RAG)
$103K–$203K
Washington, DC +3 · Full-time · Posted Oct 16, 2026
- Location
- Washington, DC
San Antonio, Texas, United States
St. Louis, Missouri, United States
Washington, District of Columbia, United States - Visa sponsorship
- Applicants must have U.S. work authorization that does not now or in the future require visa sponsorship.
About the job
Build and operate secure, production-grade generative AI applications for federal mission needs, focusing on agentic workflows, RAG, model evaluation, and platform integration rather than model training.
What you'll do
- Design, deploy, and operate agentic workflows and retrieval-augmented generation systems, including retrieval pipelines, evaluation, and guardrails.
- Integrate managed AI platforms and services; assess models and implement prompts, policies, observability, and safe fallback or rollback.
- Maintain production reliability through metrics, incident response, SRE/FinOps practices, reusable platform components, and secure deployment controls.
What they ask for
- Active U.S. citizenship.
- Hands-on experience building and deploying a production GenAI application.
- Strong Python development for building and integrating AI/ML applications.
- Experience with LLMs, RAG solutions, AI frameworks, and ownership of AI applications through deployment and operational support.
Nice to have
- Experience with cloud AI services or on-premises inference, LLM evaluation, prompt testing, experimentation, and LLMOps.
- Responsible AI, tool-using agents, containerization/orchestration, secure or regulated environments, and related tooling or open-source contributions.
Pay
$103,200 — $203,400 USD base pay
Tools
Python, LangChain, LangGraph, LlamaIndex, Semantic Kernel, AWS Bedrock, Azure OpenAI, Google Vertex AI
AI focus
Build, evaluate, integrate, and operate production GenAI applications using agents and RAG; no model training is required.
Model-written summary · the original posting is authoritative