Cloud Services Engineer - AI Specialization

Accenture Federal Services is seeking an experienced Cloud Services Engineer to implement and manage cloud services supporting modern, data-driven environments. This role focuses on integrating and optimizing cloud capabilities, including AI/ML services, to deliver scalable and mission-aligned solutions.

What you’ll own: 

• Implement and manage cloud services with a focus on integrating AI/ML capabilities into scalable, mission-ready environments
• Design and integrate cloud services into secure, high-performing solutions
• Own the integration of AI/ML capabilities within cloud environments, ensuring they are reliable, scalable, and production-ready
• Optimize AI/ML services for performance, cost, and operational efficiency
• Automate service deployment and configuration using scripting and cloud-native tools
• Troubleshoot and resolve service-level issues across cloud and AI/ML components

What you’ll build and deliver: 

• Cloud-based solutions with AI/ML capabilities fully integrated and operationalized
• Scalable, reliable AI/ML services aligned to mission and user needs
• Optimized service configurations balancing performance, cost, and security
• Automated deployments and repeatable configurations for cloud and AI/ML workloads

Here's what you need: 

• 2 years of experience implementing and managing cloud services across multiple categories
• 2 years of experience with service automation and scripting (e..g.: Python, PowerShell, CLI)
• 1 year of experience with cloud-based AI/ML services across any major cloud provider
• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or 4+ years of relevant job or military experience in lieu of degree
• DoD 8140 compliance (e.g. Security+, CISSP, CASP, etc)
• Ability to work on-site at Eglin Air Force Base or willingness to relocate

Bonus points if you have:

• Cloud certifications with service specializations (AWS, Azure, GCP)
• Experience deploying or supporting AI/ML models in production environments
• Experience with MLOps or lifecycle management of AI/ML workloads
• Experience with monitoring and performance tuning of AI/ML systems
• Knowledge of data governance and management services
• Experience with serverless and event-driven architectures
• Experience with Agile development methodologies, including Scrum and Kanban
• Experience with National Security systems and Air-Gapped Environments

Security Clearance:

• Active Top-Secret Clearance, preferred with SCI eligibility
• The position may require a polygraph examination