onsite
AI Solution Architect - Amazon Web Services
Solutions Architect
Design and implement scalable, resilient AI/ML solutions on AWS, guiding customers through cloud migrations, architecture refactoring, and advanced AI service integration using modern DevOps tools.
About the role
Key Responsibilities
- Design end‑to‑end AI/ML architectures on AWS that meet performance, security, and scalability requirements.
- Collaborate with customers to refactor legacy applications or build new cloud‑native solutions leveraging services such as SageMaker, Lambda, and ECS.
- Develop proof‑of‑concepts and technical roadmaps that demonstrate the value of AI services and best‑practice cloud patterns.
- Provide hands‑on guidance for infrastructure as code using Terraform, and container orchestration with Docker and Kubernetes.
- Mentor engineering teams on AI model deployment, monitoring, and optimization within a cloud environment.
Requirements
- 5+ years of experience designing and deploying AI/ML solutions on AWS.
- Strong expertise in cloud architecture, including networking, security, and serverless services.
- Proficiency in Python for data processing, model training, and automation.
- Hands‑on experience with container technologies (Docker, Kubernetes) and infrastructure‑as‑code tools (Terraform, CloudFormation).
- Excellent communication skills to translate complex technical concepts into business value for customers.
Skills
awsmachine learningpythondockerkubernetesterraform