AI / ML Engineer
Accenture Federal Services
$91,700 - $178,700 / year
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Description
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, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. 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.
About this role
Accenture Federal Services is looking for an AI/ML engineer to build generative AI systems for federal government clients across defense, national security, and public safety missions. You'd design and develop RAG pipelines and LLM-powered applications—handling everything from document ingestion and vector storage to model optimization and deployment on cloud platforms like Azure or AWS. The work spans both rapid prototyping and production-grade delivery, requiring you to blend modern GenAI engineering with solid computer science fundamentals and traditional ML when needed.
The role demands hands-on expertise with large language models, prompt engineering, embeddings, and vector databases, paired with strong Python skills and proficiency in frameworks like PyTorch or HuggingFace. You'll also need experience with containerization, cloud services, and the ability to work with both structured and unstructured data. An active TS/SCI security clearance is required. This is an in-office position in Tampa, with a salary range of $100,600 to $135,100.
You'd collaborate with data engineers, architects, and mission subject-matter experts to translate complex requirements into scalable solutions. Experience building production-ready systems with MLOps frameworks and understanding data governance and model risk management are valued. If you can communicate technical concepts to non-technical stakeholders and want to apply AI to meaningful government missions, this could be a strong fit.
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$91,700 to $178,700 per year
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