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Senior Solution Architect, AI Infrastructure - NVIDIA
Solutions Architect
Lead end‑to‑end AI infrastructure solutions for the US Federal Government, driving digital transformation with cloud, containerization, and machine learning expertise.
About the role
Key Responsibilities
- Design and architect scalable AI and ML platforms on AWS, ensuring compliance with federal security standards.
- Lead cross‑functional teams to deliver end‑to‑end solutions, from requirement gathering to deployment and monitoring.
- Implement containerized workloads using Docker and Kubernetes, optimizing performance and cost.
- Collaborate with stakeholders to translate business needs into technical roadmaps and architecture diagrams.
- Provide technical guidance and mentorship to engineering teams, fostering best practices in DevOps and MLOps.
Requirements
- 10+ years of experience in cloud architecture, with deep expertise in AWS services (EKS, ECS, S3, SageMaker).
- Proven track record designing AI/ML pipelines and deploying production‑grade models.
- Strong knowledge of container orchestration (Kubernetes), CI/CD, and infrastructure as code.
- Excellent communication skills and ability to work with federal clients and security teams.
- Relevant certifications (e.g., AWS Certified Solutions Architect, Kubernetes Administrator) preferred.
Skills
pythonkubernetesdockerawsmachine learning