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Deloitte Lead Cloud Engineer (AI/ML Experience) in Charlotte, North Carolina

Are you looking to elevate your Cloud development career? Your technical skills? Your opportunity for growth? Deloitte's Government and Public Services Cyber Practice (GPS Cyber Practice) is the place for you! Our GPS Cyber Practice helps organizations create a cyber minded culture and become stronger, faster, and more innovative. You will become part of a team that advises, implements, and manages AI-based technical solutions across five verticals: Strategy, Defense and Response; Identity; Infrastructure; Data; and Application Security. Our dynamic team offers opportunities to work with cutting-edge cyber security tools and grow both vertically and horizontally at an accelerated rate. Join our cyber team and elevate your career.

Work you'll doAs a Cloud Engineer Lead with AI/ML of a technical team, you manage a small development team in developing AI-based tools that drive efficiencies in service delivery. This team will be responsible for model development and cloud integration and in this role, you will manage collaboration within the team and drive development to completion and maturity. In addition, you will be developing within cloud environments, such as AWS, Google Cloud, or Azure that will lead this team.

The teamDeloitte's Government and Public Services (GPS) practice - our people, ideas, technology, and outcomes-is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of more than 15,000 professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise

At Deloitte, we believe cyber is about starting things-not stopping them-and enabling the freedom to create a more secure future. Cyber Infrastructure is focused on rethinking how security is integrated across modernized infrastructure as cyber threats become more complex. If you're seeking a career implementing, architecting, and-in select cases-handling next generation controls to manage security risks and exposure, then the Cyber Infrastructure team at Deloitte is for you.


  • A minimum of a bachelor's degree required.

  • 3 plus years of experience in Python development

  • 1 plus years of experience leading small-to-medium technical development teams, managing team members to deadlines and leading projects to successful completion.

  • 1 plus years of experience either building machine learning applications and deploying in cloud environments or supporting development teams deploying machine learning applications in cloud environments.

  • 1 plus years' experience developing in a cloud environment (AWS, Google Cloud, or Azure)

  • 1 plus years' experience of developing in container-focused architectures (Docker, or Kubernetes)

  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

  • Must be able to obtain and maintain the required clearance for this role.

  • Ability to travel 15%, on average, based on the work you do and the clients and industries/sectors you serve


  • 1 year plus of experience using GitHub for version control and source code management.

  • 1 year plus of experience deploying cloud resources via Terraform or another Infrastructure-as-Code tool.

  • 1 year plus of professional services or federal consulting experience

  • 1 plus years of experience working in Cloud native tools that accelerate analytic development (for example, AWS SageMaker, AWS RedShift, AWS Fargate, Google Cloud BigQuery, Google Cloud Vertex AI, or Google Cloud Cloud Run)

  • 6 months plus of experience partnering and collaborating with both engineers and business users on architecture vision and cloud-based model deployment.

Information for applicants with a need for accommodation:


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.