Cloud Engineer (AI) - Senior (Active Top Secret required)

Role details

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! Who you are: The Senior Cloud Engineer (AI Integration) supports advanced AI/ML workloads by designing secure, scalable cloud environments across multi enclave and high security settings. This role builds and optimizes cloud infrastructure for distributed model training, high performance compute, and low latency inference. The engineer enhances automation practices, standardizes processes across teams, and strengthens secure cloud operations. What you'll do: Design and implement cloud architectures optimized for AI/ML compute, storage, and networking needs. Automate cloud infrastructure using DevSecOps and Infrastructure as Code (IaC) tools. Integrate public cloud platforms with on-premises hyperconverged systems and accelerator hardware. Support secure, high availability operations for classified or mission critical AI applications. Manage container orchestration platforms and ensure efficient multi-tenant operations. Implement data and model governance practices to maintain secure AI pipelines. What you need: Bachelor's degree required. 8+ years of experience in cloud engineering, infrastructure, or related technical roles. Hands-on experience with major cloud providers (AWS, Azure, GCP). Knowledge of AI/ML compute environments, distributed systems, or HPC. Skills in IaC (Terraform, Bicep, CloudFormation) and DevSecOps pipelines. Experience with container orchestration (Kubernetes) and cloud networking/storage optimization. Strong understanding of secure cloud practices and multi enclave operations. Effective communication and cross-team collaboration skills. Active Top Secret clearance required Nice to have: Experience with hybrid or multi-cloud integrations. Familiarity with GPU/accelerator hardware and AI optimized cloud patterns. Cloud certifications (e.g., AWS Solutions Architect, Azure Architect). Experience working in high security or classified environments. Unique Skills: Air-gapped hybrid cloud and on-premises operational environments, including complex multi-enclave ecosystems. AWS GovCloud/SC2S/C2S and GCP cloud platforms Nutanix host and cluster configuration, management with Prism Central, and NDFS configuration/management. Cisco switching, routing, firewalling, and site-to-site functionality (such as IPSEC, DMVPN, and SD-WAN). Locally hosted GPU servers. Multi-tenant Cross-Domain Solutions (CDS). Infrastructure as Code (Terraform, Ansible). Containerization and orchestration (Docker, Kubernetes, OpenShift). Cloud-native security implementation and security accreditation processes. Advanced GitLab CI/CD pipelines and DevSecOps practices. Enterprise database services (RDS, RDS Aurora, DynamoDB). Serverless architectures (Lambda). Cloud networking and VPC configuration. Monitoring, logging, and data platforms (Elasticsearch, OpenSearch, Splunk). Microservices architecture and API Gateway implementation. Development experience with Python, .NET/C#, and related languages. Identity and access services (Microsoft Active Directory, LDAP / OpenLDAP, Entra ID, Keycloak). High assurance cross-domain and encryption solutions (TACLANE, NCAP). Cloud cost optimization techniques. Operating Systems: Linux (e.g., Rocky, RedHat, Amazon, Ubuntu), Windows, and Mac OS. 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, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia . 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 on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is: $94,000 - $187,600 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisi