Generative AI Engineer II

Deloitte’s Government & Public Services (GPS) practice is built for measurable impact across federal, state, and local government and public higher education. Within the team’s AI & Data offering, you’ll help design, develop, and operate data and AI capabilities that support clients as they anticipate disruption, reimagine possibilities, and advance their mission goals.

This role focuses on engineering machine learning and AI solutions, including production components that enable AI-powered applications. You’ll work across engineering, data science, product, and business stakeholders, translating requirements into technical delivery while building the pipelines and monitoring needed for accuracy, reliability, and scalability.

What you’ll do

• 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 for 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 convert requirements into technical solutions
• Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability

Required qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
• 2+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions
• 2+ years of programming in Python, PySpark, PyTorch, and TensorFlow
• 1+ years of technology consulting experience in the Federal Health space
• Active certification in Python, PySpark, PyTorch, or TensorFlow
• Ability to travel 20% on average, based on work and client/industry needs
• Legally authorized to work in the United States without employer sponsorship, now or in the future

Preferred qualifications

• Master’s degree in a related quantitative field
• Ability to obtain and maintain a US government security clearance
• 2+ years of experience deploying machine learning models into production environments
• 2+ years of experience with large language models, natural language processing, or generative AI solutions
• 2+ years of experience with containerization and orchestration tools such as Docker or Kubernetes
• 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes

Skills and working style

• 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 and manage multiple tasks in a fast-paced environment
• Strong interpersonal skills and professional demeanor; ability to meet deadlines
• Ability to provide clear guidance to others

Tools you may use

• Python, PySpark, PyTorch, TensorFlow, Docker, Kubernetes

Location: Sacramento, CA (onsite)

Compensation: The estimated wage range for this role is $102,500 to $170,900 per year. Deloitte notes that hiring is typically not at the top of the range, and compensation decisions depend on the facts and circumstances of each case.