Lead Generative AI Data Engineer III

Deloitte is seeking a Lead Generative AI Data Engineer III for an onsite role in Atlanta, GA. This position centers on designing, developing, testing, and deploying machine learning and AI solutions, leading AI engineering workstreams, building robust data pipelines and production-grade components, collaborating with cross-functional teams, and mentoring practitioners.

Responsibilities

• Lead the end-to-end design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases.
• Manage AI engineering workstreams by assigning tasks, 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 programming experience 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 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 percent on average, based on the work and client engagements.
• Must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.

Technologies

• Python
• PySpark
• PyTorch
• TensorFlow
• Docker
• Kubernetes
• Gemini
• Anthropic
• OpenAI

Benefits

• Discretionary annual incentive program

Skills for Success

• 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
• 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 mentor and provide clear guidance to others

Preferred

• 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 monitoring, model governance, or machine learning operations processes