AI / ML Engineer

accenturefederalservices; Tampa (FL); On-site; USD 101,000 - 135,000; Full time

Job summary

Accenture Federal Services is seeking an AI Engineer with strong experience in Large Language Models and Retrieval‑Augmented Generation to design, build, and optimize intelligent systems for mission-focused challenges.

The role blends GenAI engineering with traditional CS and ML, supporting rapid prototyping and production-grade delivery, across cloud platforms and containerized workloads, with an active TS/SCI clearance required.

Qualifications

• Hands-on experience with LLMs, prompt engineering, embeddings, vector databases, and RAG frameworks.

Responsibilities

• Design, develop, 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 to ensure performance, reliability, and security (e.g., data structures, algorithms, model evaluation, MLOps, API development).
• Implement and tune traditional ML models when required (e.g., regression, clustering, feature engineering, classical NLP).
• Integrate cloud-native services (Azure/AWS), data pipelines, and containerized workloads (Docker). Collaborate closely with cross-functional teams-including data engineers, architects, and mission SMEs-to translate requirements into scalable solutions.

Skills

LLMs experience

Prompt engineering

Embeddings

Vector databases

RAG frameworks

Python programming

APIs development

Distributed systems

Tools

Python

Java

C++

PyTorch

TensorFlow

HuggingFace

Docker

Job description

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

We are seeking an AI Enginee r with strong experience in Large Language Models (LLMs) and Retrieval‑Augmented Generation (RAG) to design, build, and optimize intelligent systems that solve complex mission and enterprise challenges. This role blends modern GenAI engineering with traditional computer science and machine learning, supporting both rapid prototyping and production‑grade delivery.

Responsibilities

• Design, develop, 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 to ensure performance, reliability, and security (e.g., data structures, algorithms, model evaluation, MLOps, API development).
• Implement and tune traditional ML models when required (e.g., regression, clustering, feature engineering, classical NLP).
• Integrate cloud‑native services (Azure/AWS), data pipelines, and containerized workloads (Docker). Collaborate closely with cross‑functional teams-including data engineers, architects, and mission SMEs-to translate requirements into scalable solutions.

Qualifications

• Hands‑on experience with LLMs, prompt engineering, embeddings, vector databases, and RAG frameworks.
• Strong programming skills in Python; familiarity with Java/C++ is a plus. Proficiency with ML and DL frameworks (PyTorch, TensorFlow, HuggingFace).
• Solid understanding of algorithms, data structures, APIs, and distributed systems. Experience with cloud platforms (AWS or Azure) and containerization (Docker). Ability to work across structured and unstructured datasets.

Preferred Skills

• Experience building production‑ready AI/ML systems, including CI/CD or MLOps frameworks (MLFlow/BentoML).
• Understanding of data governance, security constraints, and model risk management.
• Ability to communicate complex technical concepts to non‑technical stakeholders.

Clearance

An active TS/SCI is required

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland . The base pay range for this position in these locations is shown below.

The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is:

$100,600 - $135,100 USD

What We Believe

As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability statu