Gov AI Platform Engineer for Enterprise Deployments

Accenture-Federal-Services-2; Arlington (VA); On-site; USD 94,000 - 188,000; Full time

Job summary

Accenture Federal Services seeks an Enterprise AI Feature Engineer to support the deployment, integration, and operations of Google Gemini for Gov, M365 Copilot, and ChatGPT Gov Enterprise offerings. You will help deliver secure, scalable AI applications aligned with federal standards.

Roles include licensing, configuration, and ensuring security practices across development lifecycles, with cross‑functional collaboration and ongoing learning in AI technologies.

Qualifications

• Bachelor’s Degree required.
• Proven experience in enterprise AI platform deployment and integration.
• Experience with Google Gemini for Gov or ChatGPT Gov.
• Understanding of federal security standards and compliance frameworks (e.g., NIST 800-171).
• Cloud-based infrastructure, identity management, and secure system design.

Responsibilities

• Manage Licensing Process.
• Manage application configuration.
• Manage features against FedRAMP approved services.
• Help identify and resolve technical issues and dependencies throughout the development lifecycle.
• Collaborate with team to ensure adherence to best practices, coding standards, and security protocols.
• Contribute to documentation and knowledge-sharing for operational readiness.
• Continuously learn and stay informed about AI technologies and industry practices.

Skills

Enterprise AI deployment

AI tool experience

Security/compliance

Cloud/infrastructure

Automation scripting

Data management

Analytical skills

Team collaboration

Learning mindset

Education

Bachelor’s Degree

Tools

Google Gemini for Gov

ChatGPT Gov

Job description

Accenture Federal Services seeks an Enterprise AI Feature Engineer to support the deployment, integration, and operations of Google Gemini for Gov, M365 Copilot, and ChatGPT Gov Enterprise offerings. You will help deliver secure, scalable AI applications aligned with federal standards.

Roles include licensing, configuration, and ensuring security practices across development lifecycles, with cross‑functional collaboration and ongoing learning in AI technologies.