Generative AI Engineer II

Deloitte is seeking an AI and Data Science Engineer II to design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases. This onsite role in Sacramento, CA supports production AI-enabled application components, data pipeline development, and ongoing model performance monitoring while working closely with engineering, data science, product, and business teams.

Role overview

• Design, build, test, and deploy machine learning and AI 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

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 experience 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, clients, and industries or sectors served
• Legally authorized to work in the United States without employer sponsorship, now or in the future

Preferred qualifications

• Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a 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 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

Technologies

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

Additional skills

• 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

Compensation

USD 102,500 to 170,900 per year. Deloitte notes that this wage range reflects a wide range of factors used in compensation decisions, and it is not typical for an individual to be hired at or near the top of the range. Compensation decisions depend on the facts and circumstances of each case.

Team context

Deloitte's Government & Public Services (GPS) practice focuses on impact for federal, state, and local government clients and public higher education institutions. Within GPS, the AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge data and AI platforms, products, insights, and services to help clients innovate, enhance, and operate their data, AI, and analytics capabilities.