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# Senior Generative AI Engineer III - Federal Health & State & Local

- **Company:** Deloitte T.T.L.
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $110,700 - $218,300
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Component-Based Software Engineering, Application Performance Management, Information Technology Consulting, Monitoring of Systems, Python (Programming Language), Machine Learning, Natural Language Processing, AI-enabled Products, Tensorflow, Unstructured Data, Pytorch, Large Language Models, Generative AI, Containerization, Pyspark, Kubernetes, Information Technology, Machine Learning Operations, Docker
- **Published:** November 13, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-generative-ai-engineer-iii-federal-health-state-local-atlanta-ga--4d17563c-feea-477b-b1b7-1d885f50ae0d

## About the Role

Artificial Intelligence (AI), Reengineering, Customer Support/Service, Artificial Intelligence (AI), Operations Processes, Financial Management, Data Science, Machine Learning, Testing, Use Cases, * Ability to work independently and collaborate as part of a team

 * Effective written and verbal communication skills
 * Meticulous attention to detail and quality of work product
 * Ability to build and sustain professional relationships
 * Ability to lead projects or workstreams
 * Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
 * Strong interpersonal skills and professional demeanor
 * Ability to meet deadlines
 * Ability to provide clear guidance to others, Required:
 * Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
 * 5+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions
 * 5+ years of experience programming in Python, PySpark, PyTorch, and TensorFlow
 * 1+ years of technology consulting experience in the Federal Health, State & Local Government or other relevant government agency space
 * Active certification in Python, PySpark, PyTorch, or TensorFlow
 * Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
 * Ability to obtain and maintain a US government security clearance
 * Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

 * Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
 * 2+ years of experience deploying machine learning models into production environments
 * 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions
 * 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes
 * 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes

## Description

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As an AI and Data Science Engineer III on the team, you will be responsible for:

 * Design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases
 * Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products
 * Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation
 * Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions
 * Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability