2 months ago
Fairfax, VA, USASenior
Responsibilities
- Design, deploy, and support AI/ML solutions in cloud environments, including data pipelines, model hosting, and application-service integration.
- Advise Government IT teams and senior business and technical personnel on single-cloud and multi-cloud architecture solutions.
- Educate customers on cloud services and provide cloud-agnostic technical and architectural guidance.
- Maintain and evolve authorized multi-cloud architectures while optimizing cost, consumption, and performance across cloud service providers.
- Develop a baseline multi-cloud architecture methodology and implementation framework.
- Maintain enterprise data models, data dictionaries, data maps, and other architecture artifacts.
- Design cloud solutions in alignment with applicable policies, standards, and practices.
- Develop innovative architectural solutions for ill-defined requirements and assess the impact of proposed scope changes.
- Support the formulation of customer multi-cloud work statements and provide advisory services.
Requirements
- U.S. citizenship and an active TS/SCI with Polygraph are required.
- Bachelor’s degree with at least 9 years of experience, master’s degree with at least 7 years, or PhD/JD with at least 4 years is required; an additional 4 years of experience may substitute for the degree.
- At least 5 years of experience in a cloud or hybrid environment is required.
- At least 5 years of experience in cloud services, cloud solution design and deployment, large-scale data architecture, data modeling, database design, or related information-systems implementation is required.
- Experience supporting or deploying AI/ML workloads in cloud environments and integrating AI/ML services into cloud architectures is required.
- Experience with IaaS, PaaS, SaaS, enterprise data strategy, data governance, data stewardship, data standards, metadata management, end-to-end system design, and data repositories is required.
- Experience deploying cloud solutions to AWS, Azure, GCP, IBM Cloud, or OCI is required.
- AWS Certified Cloud Practitioner, AWS Certified Solutions Architect – Associate, or a related cloud certification in areas such as DevOps, Security, or ML is required.
- Preferred qualifications include Azure, OCI, GCP, or IBM certifications; cloud-agnostic architecture experience; full-lifecycle cloud development; Linux and Windows experience; SQL and database experience; cloud migration; debugging; CI/CD frameworks; infrastructure automation; and strong communication and collaboration skills.
About SAIC
SAIC (Science Applications International Corporation) is a government technology integrator delivering systems engineering, enterprise IT, secure cloud, cybersecurity, C5ISR, and data analytics for U.S. defense, space, intelligence, and civilian agencies. It builds and sustains mission IT and digital engineering solutions under multi-year federal contracts and task orders. Founded in 1969, SAIC is headquartered in Reston, Virginia, and is a public company traded on the NYSE under the ticker SAIC.