Generative AI Applications Engineer (Agents & RAG)

The role

You will build and deploy secure, scalable GenAI applications including agentic workflows and RAG systems. You will own the end-to-end path from use case evaluation to production deployment and operational excellence.

What you will do

• Build agentic workflows and RAG systems tailored to mission data and environments
• Apply patterns from LangChain, LlamaIndex, or Semantic Kernel
• Implement with AWS Bedrock, Azure OpenAI, Google Vertex AI, Amazon Kendra, and managed services
• Compare models for quality, safety, latency, and cost
• Author and test prompts and policies
• Build retrieval pipelines and vector search
• Instrument metrics, logs, and traces
• Run A/B experiments
• Maintain incident playbooks
• Ship SDKs, CI/CD templates, Terraform/IaC modules, and evaluation harnesses

Required qualifications

• Built and deployed a production GenAI application
• Hands-on with LLMs GPT, Claude, Llama, Gemini, Mistral, via APIs or self-hosted
• Designed and implemented RAG solutions using embeddings, vector databases, and semantic search
• Shipped AI applications with frameworks like LangChain, LangGraph, LlamaIndex, Semantic Kernel, or DSPy
• Strong Python development for building and integrating AI/ML applications
• Owned AI solutions through full production life cycle, deployment and operational support
• Active U.S. citizenship

Nice to have

• Integration with leading cloud AI services or on prem inference stacks
• Background in LLM evaluation, prompt authoring/testing, A/B experimentation, and LLM Ops
• Responsible AI expertise (privacy, security, bias, transparency, human in the loop) and data governance
• Experience implementing tool using agents for API integration and external data access
• Containerization & orchestration (Docker, Kubernetes, VMware) and scripting/automation (Linux Bash, PowerShell)
• Prior work in regulated/secure environments (e.g., ATO, STIGs, Zero Trust) with fast shipping
• Familiarity with NVIDIA AI Foundations, OpenAI ChatGPT, and AI assisted dev tools (Cursor, Windsurf, Claude)
• Contributions to internal frameworks or opensource; mentorship of engineers
• Clear communication with engineers, PMs, and security/compliance stakeholders

Benefits

• Certifications
• Industry training
• Hands-on experience

Before you apply

• Active U.S. citizenship required
• Must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States
• Candidates currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration

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.