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Deloitte

Generative AI Engineer III - Federal Health

Deloitte
Arlington, VA $111k - $218k/yr Full time Posted 13d ago
Artificial Intelligence Big Data Bigdata Cloud Native Cloud Platform Cloud Platforms Data Engineer Data Integration Data Pipeline Data Platform Data Processing Deep Learning DevOps ETL Kubernetes Machine Learning Machine Learning Engineer PyTorch TensorFlow
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Job Description

Join Deloitte's Government & Public Services GPS practice to contribute to federal health AI initiatives from an on-site role in Arlington, VA. You will benefit from a discretionary annual incentive program while collaborating with cross-functional teams to design and deploy impactful ML and AI solutions.

Compensation ranges from USD 110,700 to USD 218,300 per year, reflecting your experience and impact. This position is based on-site in Arlington, offering opportunities to work closely with clients and stakeholders to translate complex requirements into practical technical outcomes.

The Team

As part of Deloitte's GPS organization, you will join a team focused on delivering outcomes for federal, state, and local government clients as well as public higher education institutions. The AI and Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge data and AI capabilities that empower clients to meet their missions.

Responsibilities

  • Design, build, test, and deploy machine learning and AI solutions tailored to business and client use cases
  • Develop and maintain data pipelines, model training workflows, and production-grade components that support 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

Requirements

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
  • 5+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions
  • 3+ years of programming experience in Python, PySpark, PyTorch, and TensorFlow
  • 1+ years of technology consulting experience in the Federal Health space
  • Active certification in Python, PySpark, PyTorch, or TensorFlow
  • Ability to travel 20% on average based on the work and client engagements
  • 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

Benefits

Discretionary annual incentive program

Preferred Qualifications

  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
  • Ability to obtain and maintain a 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 of experience supporting model monitoring, governance, or ML operations processes

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