AI/ML Engineer — LLM & RAG Systems

Accenture-Federal-Services-2; Tampa (FL); On-site; USD 101,000 - 135,000; Full time

Job summary

Accenture Federal Services in Tampa, FL is seeking an AI Engineer with strong experience in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to design, build, and optimize intelligent systems for mission-critical government programs.

You'll design RAG pipelines, ingest documents, generate embeddings, manage vector stores, and orchestrate LLMs, while collaborating with data engineers, architects, and SMEs to deliver production-grade solutions with strong security and

Qualifications

• Hands-on experience with LLMs, prompt engineering, embeddings, vector databases, and RAG frameworks.
• Strong programming in Python; familiarity with Java/C++ and ML/DL frameworks.
• Cloud platforms (AWS or Azure) and containerization (Docker).

Responsibilities

• Design, build, and maintain RAG pipelines, including document ingestion, embedding generation, vector storage, retrieval logic, and LLM orchestration.
• Build and optimize LLM-powered applications for classification, summarization, Q&A, knowledge retrieval, and workflow automation.
• Apply core software engineering and ML fundamentals for performance, reliability, and security (data structures, algorithms, model evaluation, MLOps, API development).
• Implement and tune traditional ML models when required (e.g., regression, clustering, feature engineering, classical NLP).
• Collaborate with cross-functional teams including data engineers, architects, and mission SMEs to translate requirements into scalable solutions.

Skills

LLMs

Prompt engineering

Embeddings

Vector databases

RAG frameworks

Python

Java/C++

ML frameworks

APIs

Docker

Cloud platforms

Tools

Docker

AWS

Azure

Kubernetes

Job description

Accenture Federal Services in Tampa, FL is seeking an AI Engineer with strong experience in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to design, build, and optimize intelligent systems for mission-critical government programs.

You'll design RAG pipelines, ingest documents, generate embeddings, manage vector stores, and orchestrate LLMs, while collaborating with data engineers, architects, and SMEs to deliver production-grade solutions with strong security and