Cloud Services Engineer - AI Specialization
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About the Role
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.
Responsibilities include, but are not limited to:
- 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
Goals & Objectives:
- Deliver high-quality cloud service implementations that meet business and technical requirements
- Optimize cloud service configurations for performance, security, and cost-effectiveness
- Create reusable service templates and patterns to accelerate solution delivery
- Establish best practices for cloud service implementation and management
- Reduce operational overhead through service automation and integration
- Collaborate effectively with platform teams, developers, and business stakeholders
- Document service architectures, configurations, and operational procedures
- Stay current with emerging cloud services and AI capabilities
- Contribute to the continuous improvement of cloud service delivery and operations
Technical Expertise
- Deep knowledge of cloud service offerings across major providers (AWS, Azure, or GCP)
- Experience implementing and managing AI/ML services and related integrations
- Proficiency in service automation, API integration, and custom service configuration
- Understanding of service networking, security, and access management
- Experience with data services including databases, data lakes, and analytics platforms
- Knowledge of service monitoring, logging, and alerting solutions
- Expertise in service cost optimization and resource management
- Experience with service-level security controls and compliance implementations
- Understanding of serverless architectures and event-driven service designs
Professional Competencies
- Excellent communication skills in both written and oral formats
- Strong problem-solving and analytical skills
- Ability to translate business requirements into appropriate service selections
- Ability to work effectively in cross-functional teams
- Self-motivated with the ability to work independently
- Ability to adapt to changing priorities and service offerings
- Strong customer service orientation
- Ability to interface effectively with technical and non-technical stakeholders
- Ability to execute autonomously and take ownership of assigned responsibilities
- Curiosity and willingness to explore new service capabilities
Here's what you need:
- 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
Bonus points if you have:
- 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
Security Clearance:
- Active Top-Secret Clearance, preferred with SCI eligibility
- The position may require a polygraph examination
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