Lead Generative AI Data Engineer III

About the role

The Deloitte AI & Engineering team transforms technology platforms, drives innovation, and makes a significant impact on clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes critical to businesses.

Responsibilities

• Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases.
• Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality, timeliness, and issue resolution across the team.
• Develop and oversee data pipelines, model training workflows, and production-grade application components that support AI-enabled products.
• Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide technical decisions.
• Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and application performance to improve accuracy, reliability, and scalability.

Requirements

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
• 7+ years of professional experience.
• 5+ years of experience designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions.
• 3+ years of experience programming in Python, Pyspark, Pytorch, and Tensorflow.
• 2+ years of technology consulting experience in the State Government or Local Government space.
• 2+ years of experience leading technical teams, projects, or workstreams supporting artificial intelligence or machine learning solution delivery.
• 1+ years of experience working with AI technologies such as Gemini, Anthropic, and OpenAI.
• Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow.
• Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.

Qualifications

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