Generative AI Engineer II - Federal Health & State & Local

Deloitte • Nashville, TN

22d • $102,500 - $170,900

About The Position

Deloitte’s AI & Engineering team works to transform technology platforms, drive innovation, and help clients improve financial performance, accelerate digital ventures, and grow through innovation. The role is part of the Government & Public Services practice, serving federal, state, and local government clients and public higher education institutions. The AI & Data offering designs, develops, and operates data and AI platforms, products, insights, and services to help clients mature and scale their analytics capabilities.

The engineer designs, builds, tests, and deploys machine learning and artificial intelligence solutions for business and client use cases. The role develops and maintains data pipelines, model-training workflows, and production-grade application components; analyzes structured and unstructured data; collaborates with technical and business stakeholders to translate requirements into solutions; and monitors and improves model and application performance.

The position is available in Atlanta, Georgia; Austin, Texas; Nashville, Tennessee; New York, New York; Rosslyn, Virginia; and Sacramento, California. Travel averages 20%, depending on the work and clients served. The estimated salary range is $102,500 to $170,900, and the employee may also be eligible for a discretionary annual incentive, subject to program rules and applicable factors.

Requirements

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field.
• At least 2 years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions.
• At least 2 years of programming experience in Python, PySpark, PyTorch, and TensorFlow.
• At least 1 year of technology consulting experience in the Federal Health space.
• Active certification in Python, PySpark, PyTorch, or TensorFlow.
• Ability to travel an average of 20%, depending on the work and clients served.
• Legally authorized to work in the United States without employer sponsorship now or in the future.
• Ability to work independently and collaboratively as part of a team.
• Effective written and verbal communication skills; strong interpersonal skills and professional demeanor.
• Meticulous attention to detail and quality of work product.
• Ability to build and sustain professional relationships.

Nice To Haves

• Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field.
• Ability to obtain and maintain a U.S. government security clearance.
• At least 2 years of experience deploying machine learning models into production environments.
• At least 2 years of experience working with large language models, natural language processing, or generative artificial intelligence solutions.
• At least 2 years of experience using containerization and orchestration tools such as Docker or Kubernetes.
• At least 1 year of experience supporting model monitoring, model governance, or machine learning operations processes.

Responsibilities

• 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 supporting 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.
• Lead projects or workstreams and provide clear guidance to others.
• Manage and prioritize multiple tasks in a fast-paced, dynamic environment while meeting deadlines.

Benefits

• Broad range of employee benefits; specific benefits are not detailed in the posting.
• Opportunities for professional development, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level