AI/ML Solutions Architect (AWS)

Job Summary
We are seeking an experienced AI/ML Solutions Architect with 8 12 years of experience to design, build, and implement scalable, cloudnative solutions on AWS. The ideal candidate will bring deep expertise in Artificial Intelligence and Machine Learning concepts, along with handson experience in Docker, Kubernetes, and AWS Machine Learning services. This role is critical in enabling innovation, driving platform architecture decisions, and delivering secure, resilient solutions in a hybrid work environment. Experience
8 12 years of overall IT experience
Proven background in solution or platform architecture, preferably in AI/MLdriven environments Required Skills
AWS Machine Learning services
Artificial Intelligence (AI) & Machine Learning (ML) concepts
Docker
Kubernetes
Cloudnative architecture and distributed systems NicetoHave Skills
MLOps frameworks and practices
CI/CD pipelines for ML workloads
Experience deploying AI/ML models at scale
Python or other MLcentric programming languages Key Responsibilities
Architecture & Design
Design and implement AI/MLbased solutions on AWS to support business and platform objectives
Define scalable, secure, and resilient cloud architectures using containerized and orchestrated environments
Translate business requirements into technical architecture and solution designs
Cloud & Platform Engineering
Build and deploy solutions leveraging AWS ML services, Docker, and Kubernetes
Collaborate with DevOps and platform teams to enable CI/CD pipelines and automated deployments
Ensure high availability, performance, and scalability of AI/ML platforms
Technical Leadership
Establish and promote architecture standards, best practices, and guardrails
Provide technical guidance and mentorship to engineering teams
Review designs and implementations to ensure alignment with architectural principles
Collaboration & Operations
Partner with crossfunctional teams to deliver innovative AI/ML solutions
Support troubleshooting and resolution of platform and deployment issues
Stay current with emerging AI/ML and cloud technologies and recommend adoption where appropriate