Job Summary

AI Platform Architecture & Design Understand business, application, and AI/ML requirements and translate them into scalable cloud AI platform architectures. Design AI environments, workspaces, sandboxes, and shared platform services aligned to business and technical objectives. Define architecture patterns, standards, and best practices for AI platform deployment. Cloud Platform Engineering Build and configure secure Azure and AWS AI environments. Implement AI/ML platform services, data pipelines, model development environments, and supporting cloud infrastructure. Ensure platform scalability, performance, availability, and operational readiness. Automation & DevOps Automate provisioning and deployment of AI platforms using Infrastructure as Code (IaC) and cloud-native automation services. Develop reusable deployment templates using Terraform, Bicep, CloudFormation, or equivalent technologies. Implement CI/CD pipelines for AI/ML workloads, platform services, and infrastructure components. Security & Governance Apply cloud security best practices, identity management, network controls, and data protection requirements. Ensure compliance with organizational security, governance, and regulatory requirements. Support AI governance, responsible AI controls, and platform guardrails. Platform Validation & Production Readiness Validate platform scalability, resiliency, performance, monitoring, alerting, and operational support models. Review deployment readiness, documentation, disaster recovery, and support transition requirements. Ensure smooth handover into production operations. Collaboration & Advisory Work with business, application, cloud, data, and AI engineering teams. Provide technical guidance on AI platform capabilities, architecture decisions, and deployment strategies. Support AI adoption, cloud transformation, and modernization initiatives.

Key Responsibilities

1. Enhance Operational Systems By Implementing Aws Paas Solutions And Terraform For Infrastructure As Code To Improve Management Reporting And Streamline Information Flow.
2. Collaborate With Clients To Gather And Analyze Requirements, Ensuring That The Support Team Meets Client Expectations Through Effective Utilization Of Aws Services.
3. Lead And Mentor The Project Team In Adopting Best Practices In Aws Paas And Terraform, Ensuring Clear Communication Of Project Goals And Expectations.
4. Foster A Culture Of Innovation By Integrating New Ideas And Process Improvements Using Aws And Terraform, Contributing To Overall Organizational Progress.
5. Develop And Implement Solutions Tailored To Customer Needs Using Aws Technologies, Driving Business Results And Enhancing Operational Effectiveness.

Skill Requirements

1. Proficient In Aws Paas, With Solid Knowledge Of Terraform For Infrastructure As Code.
2. Strong Understanding Of Operational Management Principles And Continuous Improvement Methodologies.
3. Excellent Problem-Solving Skills And Capability To Analyze Client Requirements Effectively.
4. Proven Ability To Lead And Mentor Teams, Fostering Collaboration And Transparency.
5. Familiarity With Reporting Tools And Methodologies To Streamline Business Processes.

Other Requirements

1. Aws Certified Solutions Architect (Optional But Valuable).
2. Terraform Certification (Optional But Valuable)