AI / ML Engineer
Summary
An AI/ML engineer at Accenture Federal Services designs, builds, and optimizes LLM-powered systems and RAG pipelines (ingestion, embeddings, vector storage, LLM orchestration) to solve US federal mission and enterprise challenges. Core stack: Python with PyTorch/TensorFlow/HuggingFace, AWS/Azure, Docker, and MLOps tooling; requires an active TS/SCI clearance.
We are seeking an AI Engineer 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. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
Skills
- AI
- API
- Automation
- AWS
- Azure
- BentoML
- CI/CD
- Cloud
- Containerization
- C++
- Data Governance
- Data Pipelines
- Distributed Systems
- Docker
- Embeddings
- Feature Engineering
- Generative AI
- Hugging Face
- Java
- LLM
- Machine Learning
- MLflow
- MLOps
- Model Evaluation
- NLP
- Prompt Engineering
- Prototyping
- Python
- PyTorch
- RAG
- TensorFlow
- TypeScript
- Vector Databases
As published by greenhouse · 16 questions
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location
Short answers (1)
- If yes, please list the full name of the employee(s) and your relationship to them. optional
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- State
- Are you at least 18 years of age?
- Are you legally authorized to work in the United States?
- Many AFS positions require US citizenship. Please indicate your citizenship status so we can determine eligibility for specific roles. optional
- Will you now or in the future require sponsorship for employment visa status (for example, H-1B visa status)?
- Have you entered into a non-disclosure or non-compete agreement or understanding of any kind?
- Have you worked at Accenture in the past?
- How did you hear about us?
- Do you hold a security clearance?
- At your current employer, are you currently working on a project with Accenture or have you worked on a project with Accenture in the past 24 months?
- Are you a current employee of the U.S. Government (including U.S. Congress or military) or any state or local government? This includes entities owned or controlled by the U.S. Federal Government, such as Amtrak, the United States Postal Service, and USAID (see list of exceptions below). NOTE: answer yes if you have accepted the “Fork-in-the-Road” offer, separated with a Deferred Retirement Plan, or are on administrative leave pending separation from the Government.
- Will you be serving as enlisted personnel in either the Reserves or the National Guard while working for AFS?
- Were you an employee of the U.S. Government (including U.S. Congress or military) or any state or local government within the past 10 years? This includes entities owned or controlled by the U.S. Federal Government, such as Amtrak, the United States Postal Service, and USAID (see list of exceptions below).
- Do you have any family members or people you have close relationships with who work for Accenture Federal Services?
- Affirmation