Lead Generative AI Data Engineer III
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Job description
Experteer Overview In this role you will lead design, development, and deployment of ML/AI solutions for business and client use cases within Deloitte’s AI & Data team. You will guide AI engineering workstreams, mentor junior practitioners, and oversee end-to-end data pipelines and production components that power AI-enabled products. Collaboration with cross-functional teams will translate requirements into scalable technologies, driving accuracy, reliability, and impact for clients in government and public services. This is a chance to shape AI platforms and contribute to mission-driven outcomes at scale. Compensation / Benefits * Lead the design, development, testing, and deployment of ML/AI solutions for client use cases * Manage AI engineering workstreams: assign work, review deliverables, ensure quality and timely delivery * Develop and oversee data pipelines, model training workflows, and production-grade components * Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable solutions * Coach and mentor junior practitioners and monitor model/application performance to improve accuracy and scalability Tasks * Bachelor in Computer Science * 7+ years of professional experience * 5+ years designing, developing, or deploying ML/AI/analytics solutions * 3+ years programming in Python, Pyspark, Pytorch, and Tensorflow * 2+ years of technology consulting in the Federal Health space * 2+ years deploying ML models into production * 2+ years leading technical teams or workstreams * 1+ years working with AI technologies such as Gemini, Anthropic, OpenAI * Active certification in Python, Pyspark, Pytorch, and Tensorflow * Ability to travel 20% * Legal authorization to work in the United States without sponsorship Key requirements *
Requirements
within and business teams to translate requirements into scalable solutions * Coach and mentor junior practitioners and monitor model/application performance to improve accuracy and scalability Tasks * Bachelor in Computer Science * 7+ years of professional experience * 5+ years designing, developing, or deploying ML/AI/analytics solutions * 3+ years programming in Python, Pyspark, Pytorch, and Tensorflow * 2+ years of technology consulting in the Federal Health space * 2+ years deploying ML models into production * 2+ years leading technical teams or workstreams * 1+ years working with AI technologies such as Gemini, Anthropic, OpenAI * Active certification in Python, Pyspark, Pytorch, and Tensorflow * Ability to travel 20% * Legal authorization to work in the United States without sponsorship Key requirements *
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