Lead Generative AI Data Engineer III

Location and compensation: This onsite role is based in Atlanta, GA, with a competitive salary range of USD 159,100 to 265,100 per year. It also includes a discretionary annual incentive program. You will join a role that emphasizes leadership in generative AI, collaboration across disciplines, and mentorship of peers.

Responsibilities

• Lead the end-to-end lifecycle of machine learning and artificial intelligence solutions for business and client use cases, from design through deployment.
• Oversee AI engineering workstreams by assigning tasks, reviewing outputs, and driving quality, timely delivery, and issue resolution across the team.
• Build and manage data pipelines, model training workflows, and production‑grade components that support AI enabled products.
• Partner with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide key 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 designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions.
• 3+ years programming in Python, PySpark, PyTorch, and TensorFlow.
• 2+ years of technology consulting experience in the Federal Health space.
• 2+ years deploying machine learning models into production environments.
• 2+ years leading technical teams, projects, or workstreams supporting AI or ML solution delivery.
• 1+ year working with AI technologies such as Gemini, Anthropic, and OpenAI.
• Active certification or advanced certification in Python, PySpark, PyTorch, and TensorFlow.
• Ability to travel approximately 20% based on client needs and engagements.
• Legal authorization to work in the United States without 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 collaboratively within a team
• Effective written and verbal communication
• Meticulous attention to detail and quality of work
• Proven ability to build and sustain professional relationships
• Capacity to lead projects or workstreams
• Strong multitasking and prioritization in a fast-paced environment
• Professional interpersonal skills and demeanor
• Reliability in meeting deadlines
• Experience mentoring others and providing clear guidance

Preferred

• Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field
• Active US Government security clearance
• 2+ years experience with large language models, natural language processing, or generative AI solutions
• 2+ years using containerization and orchestration tools such as Docker or Kubernetes
• 1+ years supporting model monitoring, governance, or MLOps processes