Cloud Services Engineer - AI Specialization

Accenture Federal ServicesEglin AFB, FL
14h

About The Position

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 with a specialization in AI technologies and experience working with classified systems to help support our high-value clients. This role focuses on implementing, integrating, and optimizing cloud services with particular emphasis on AI/ML service offerings. The ideal candidate will have strong expertise in cloud service configuration and management, with specialized knowledge in AI/ML services, enabling them to design and implement solutions that leverage the full capabilities of modern cloud platforms.

Requirements

  • 5 years of experience in cloud engineering or service implementation
  • 3 years of experience implementing and managing AWS services across multiple categories
  • 3 years of experience with cloud service integration and API management
  • 2 years of experience with cloud-based AI/ML services across any major cloud provider
  • 2 years of experience with data services (databases, analytics, ETL)
  • 2 years of experience with service automation and scripting (Python, PowerShell, CLI)
  • 2 years of experience with service monitoring, logging, and performance optimization
  • 2 years of experience with cloud security services and compliance implementations
  • 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 8570 IAT Level II certification or higher (Sec+, CISSP, CASP, etc.) or DoD 8140 equivalent
  • Active Top-Secret Clearance, preferred with SCI eligibility
  • The position may require a polygraph examination

Nice To Haves

  • Cloud certifications with service specializations (AWS, Azure, GCP)
  • Experience with advanced AI services like natural language processing or computer vision
  • Experience implementing machine learning operations (MLOps) services
  • Knowledge of data governance and management services
  • Experience with event-driven architectures and serverless computing
  • Experience with service mesh and API gateway implementations
  • Experience with hybrid cloud service integration
  • Experience with FedRAMP and government cloud service compliance
  • Experience with Agile development methodologies, including Scrum and Kanban

Responsibilities

  • Implement, configure, and optimize cloud services across compute, storage, networking, and specialized AI offerings
  • Integrate various cloud services to create cohesive solutions that meet business requirements
  • Configure and optimize AI/ML services such as managed machine learning platforms, cognitive services, and analytics tools
  • Design and implement service architectures that balance performance, cost, and security
  • Ensure cloud services are configured according to security best practices and compliance requirements
  • Create service deployment templates and automation for consistent implementation
  • Monitor and optimize cloud service performance, availability, and cost
  • Develop integration patterns between cloud services and existing systems
  • Provide guidance on service selection and usage based on specific use case requirements
  • Troubleshoot service-related issues and implement remediation strategies
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