Lead AI and Data Science Engineer II (secret Clearance Required)

Lead AI and Data Science Engineer II at Deloitte, focusing on integrating Google AI platforms with ServiceNow for government clients to automate personnel records correction. The role involves designing, building, and deploying AI/automation capabilities, including intelligent triage, document classification, OCR, computer vision, and content generation, within production-ready pipelines and cloud environments. It also includes mentoring junior engineers and ensuring secure, scalable solutions.

What you'd actually do

  1. Design, develop, and deploy artificial intelligence and automation capabilities that support digital case intake, records processing, and case review workflows
  2. Build and enhance solutions such as intelligent triage, document classification, duplicate case detection, electronic signature workflows, and automated data validation
  3. Develop production-ready pipelines, models, and application components using Python and cloud-based services to support secure, scalable delivery
  4. Deliver AI capabilities such as optical character recognition, computer vision, case summarization, workflow automation, and content generation for adjudication support
  5. Mentor junior developers and engineers, contribute to solution design, and help monitor model performance, quality, and accuracy across deployed capabilities

Skills

Required

  • 5+ years of experience in data engineering or artificial intelligence development
  • 5+ years of experience architecting and deploying data pipelines, artificial intelligence agents, or machine learning models into production environments
  • Experience designing end-to-end artificial intelligence solutions, including data preprocessing, feature engineering, and cloud-based integration
  • Python
  • cloud-based services
  • Secret level security clearance

Nice to have

  • Google Cloud Platform artificial intelligence and machine learning services
  • natural language processing
  • computer vision
  • optical character recognition solutions
  • NumPy
  • Pandas
  • PyTorch
  • scikit-learn
  • TensorFlow
  • document processing
  • case summarization
  • workflow orchestration
  • content generation

What the JD emphasized

  • Must be a U.S. citizen and able to obtain and maintain a Secret level security clearance

Other signals

  • integrating ServiceNow with Google AI platforms
  • design, build, and deploy application-level Google Cloud and artificial intelligence services
  • support the transition from legacy systems to modern digital workflows
  • guide junior developers and engineers
  • deliver secure, scalable, production-ready solutions
  • design, develop, and deploy artificial intelligence and automation capabilities
  • Build and enhance solutions such as intelligent triage, document classification, duplicate case detection, electronic signature workflows, and automated data validation
  • Develop production-ready pipelines, models, and application components using Python and cloud-based services
  • Deliver AI capabilities such as optical character recognition, computer vision, case summarization, workflow automation, and content generation for adjudication support
  • Mentor junior developers and engineers, contribute to solution design, and help monitor model performance, quality, and accuracy across deployed capabilities
  • 5+ years of experience in data engineering or artificial intelligence development
  • 5+ years of experience architecting and deploying data pipelines, artificial intelligence agents, or machine learning models into production environments
  • Experience designing end-to-end artificial intelligence solutions, including data preprocessing, feature engineering, and cloud-based integration