Accenture
AI / ML Engineer
$92K–$179K
Tampa, FL +1 · Full-time · Posted Sep 3, 2026
- Location
- Tampa, FL
Tampa, Florida, United States - Visa sponsorship
- Applicants for US employment must have work authorization that does not now or in the future require visa sponsorship.
About the job
Designs and delivers LLM- and RAG-powered systems, alongside traditional machine-learning solutions, for federal mission and enterprise needs.
What you'll do
- Design, build, and maintain RAG pipelines and LLM applications for tasks such as Q&A, summarization, and workflow automation.
- Apply software engineering and ML practices to improve system performance, reliability, and security; implement traditional ML models when needed.
- Integrate cloud services, data pipelines, and containerized workloads, collaborating with technical and mission teams.
What they ask for
- Hands-on experience with LLMs, prompt engineering, embeddings, vector databases, and RAG frameworks.
- Strong Python programming skills; proficiency with PyTorch, TensorFlow, and HuggingFace.
- Knowledge of algorithms, data structures, APIs, and distributed systems; experience with AWS or Azure and Docker.
- An active TS/SCI clearance.
Nice to have
- Experience with production AI/ML systems, CI/CD, or MLOps frameworks such as MLFlow or BentoML.
- Understanding of data governance, security constraints, and model risk management.
Pay
$91,700 — $178,700 USD (base pay)
Tools
Python, Java, C++, PyTorch, TensorFlow, HuggingFace, AWS, Azure
AI focus
Build and optimize LLM/RAG applications and pipelines, and implement traditional ML models when required.
Model-written summary · the original posting is authoritative