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Accenture

Advises businesses and runs their technology

Generative AI Applications Engineer - Agents & RAG

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeWashington, DC, USA$103.2k - $203.4kIn-person

About the Job

Requirements

  • Built and deployed a production generative AI application, such as a chatbot, copilot, assistant, or enterprise AI.
  • Hands-on experience with large language models, including GPT, Claude, Llama, Gemini, and Mistral, through APIs or self-hosted systems.
  • Designed and implemented retrieval-augmented generation solutions using embeddings, vector databases, and semantic search for enterprise or mission data.
  • Shipped AI applications with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, DSPy, or similar.
  • Strong Python development skills for building and integrating AI and machine learning applications.
  • Owned AI solutions through the full production lifecycle, including deployment and operational support.
  • Active U.S. citizenship.

Responsibilities

  • Design and ship mission-grade generative AI applications, building agentic workflows and retrieval-augmented generation systems tailored to mission data and environments, with low hallucination, tight p95 latency, and predictable cost targets.
  • Apply agent-framework and orchestration patterns using LangChain, LlamaIndex, or Semantic Kernel; design task decomposition, tool use, guardrails, and recovery or fallback strategies.
  • Implement platform integrations without model training using AWS Bedrock, Azure OpenAI, Google Vertex AI, Amazon Kendra, and managed services such as Document AI, Gemini, and Gemma.
  • Compare models for quality, safety, latency, and cost; author and test prompts and policies; deploy with observability and safe rollback or fallback.
  • Build retrieval pipelines and vector search using Pinecone, Weaviate, OpenSearch, pgvector, FAISS, or Chroma; handle data preparation, chunking, metadata, and information-retrieval evaluations such as NDCG.
  • Instrument metrics, logs, and traces; run A/B experiments; maintain incident playbooks; and implement safety and compliance guardrails.
  • Define service-level indicators and objectives for quality, latency, safety, and cost; participate in on-call and postmortems; reduce mean time to recovery; meter usage; and optimize token spend.
  • Ship reusable SDKs, continuous integration and continuous delivery templates, Terraform/infrastructure-as-code modules, and evaluation harnesses to accelerate multiple mission teams.
  • Deliver in hybrid, restricted, or air-gapped environments using Zero Trust principles and audit-ready controls.

Desired Qualifications

  • Integrating leading cloud AI services or on-premises inference stacks.
  • Background in large language model evaluation, prompt authoring and testing, A/B experimentation, and large language model operations.
  • Responsible AI expertise covering privacy, security, bias, transparency, human-in-the-loop practices, and data governance.
  • Experience implementing tool-using agents for API integration and external data access.
  • Containerization and orchestration using Docker, Kubernetes, or VMware, and scripting or automation with Linux Bash or PowerShell.
  • Prior work in regulated or secure environments, such as authorization to operate, Security Technical Implementation Guides, or Zero Trust, with fast shipping.
  • Familiarity with NVIDIA AI Foundations, OpenAI ChatGPT, and AI-assisted development tools such as Cursor, Windsurf, or Claude.
  • Contributions to internal frameworks or open source, and mentorship of engineers.
  • Clear communication with engineers, product managers, and security or compliance stakeholders.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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