Lead Generative AI Data Engineer III Jobs

Lead AI and Data Science Engineer II

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. As a Lead AI and Data Science Engineer II on the team, you will be responsible for:

• Leading the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases.
• Managing AI engineering work streams by assigning work, reviewing deliverables, and driving quality, timeliness, and issue resolution across the team.
• Developing and overseeing data pipelines, model training workflows, and production-grade application components that support AI-enabled products.
• Collaborating with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide technical decisions.
• Coaching and mentoring junior practitioners, providing day-to-day guidance, and monitoring model and application performance to improve accuracy, reliability, and scalability.

• 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 work streams.
• 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 mentor and provide clear guidance to others.

Deloitte's Government & Public Services (GPS) practice-our people, ideas, technology, and outcomes-is designed for impact. Serving federal, state, and local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge data and AI platforms, products, insights, and services.

Our offerings help clients innovate, enhance, and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

• 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 Federal Health space
• 2+ years of experience deploying machine learning models into production environments.
• 2+ years of experience leading technical teams, projects, or work streams 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.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

• Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
• Active US Government security clearance.
• 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…