Generative AI Data Engineer III

Join Deloitte's Government & Public Services practice as a Generative AI Data Engineer III in Philadelphia, onsite. This role centers on designing, building, testing, and deploying ML and AI solutions; developing robust data pipelines and production-ready components; analyzing data to uncover insights; collaborating with engineers, data scientists, and business stakeholders; and monitoring performance to ensure reliable AI-enabled products.

Benefits and culture

Receives a discretionary annual incentive program, with awards determined by individual and organizational performance. Deloitte’s GPS practice emphasizes impact, collaboration, and delivering value to federal, state, and local government clients, as well as public higher education institutions.

The team

Government & Public Services (GPS) brings together people, ideas, technology, and outcomes to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. The group serves federal, state, and local government clients with a refreshed perspective on how technology can drive results.

Responsibilities

• Design, build, test, and deploy ML and AI solutions for business and client use cases
• Develop and maintain data pipelines, model training workflows, and production-grade application components supporting AI-enabled products
• Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation
• Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions
• Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability

Technologies

• Python
• Pyspark
• Pytorch
• Tensorflow
• Docker
• Kubernetes
• Gemini
• Anthropic
• OpenAI

Required qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field
• 5+ years of professional experience
• 3+ years designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions
• 3+ years programming in Python, PySpark, PyTorch, TensorFlow
• 3+ years developing algorithms, model selection, training/validation/optimization, and evaluation at scale
• 1+ years of technology consulting experience in the Federal Health space
• 1+ years working with AI technologies such as Gemini, Anthropic, OpenAI
• Active Certification/Advanced certification in Python, PySpark, PyTorch, TensorFlow
• Ability to travel 20% on average based on work and client needs
• Ability to obtain and maintain a US government security clearance
• Legally authorized to work in the United States without employer sponsorship now or in the future

Preferred qualifications

• 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 deploying machine learning models into production environments
• 2+ years of experience with large language models, natural language processing, or generative AI solutions
• 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes
• 1+ years supporting model monitoring, model governance, or machine learning operations processes

Compensation

Salary range: USD 131,000 – 218,300 per year. The range reflects multiple factors, including skill sets, experience, certifications, and business needs, and geographic differences are not adjusted here. A discretionary annual incentive program may also be available depending on performance.