Cloud Services Engineer - AI Specialization

Accenture Federal Services
Eglin AFB, FLPosted 21 March 2026

Job Description

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! 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 As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland . The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information o ... (truncated, view full listing at source)
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