Ai Platform Architect

2 weeks ago

Pune, India Michelin Full time

AI Platform Architect

About the Role:

- Building the robust, scalable and secure AI Platform on Azure Cloud.
- You will work with customers/end users, platform owners, enterprise architects, and development teams to understand their pains & needs
- Work closely with the cross team to develop architectures that support product roadmap and targeted experiences
- Use problem-solving creativity to design, architect, and develop high-end technology solutions that solve our clients' most complex and challenging problems across different industries on microsoft azure
- Provide technical leadership throughout the design and deployment life cycle and focus on delivery of quality solutions
- Develop deployment of automation using automation tools and scripts to provide a fully functional cloud stack in Azure that supports AI usecases
- Build, migrate and test Azure environments and integrations of services with IaaS, PaaS, and SaaS
- Proven expertise in Design and architect multi layered Cloud only / Hybrid network for Microsoft azure cloud
- Build new automation to expand and maintain Cloud hosting capabilities and optimization of hosted services
- Lead program optimization to work within constructs of an Azure environment
- Experience in building Design documents, runbooks for clients
- Ability to understand and delivery of Security and compliance solutions to meet business standards
- Driving architecture and best practices by contributing to tooling, producing white papers, mentoring, and implementing PoC’s
- Guiding C-level stakeholders i.e. Deploy the platform architecture to various stakeholders in their frame of reference;

**Skills**:

- Atleast 12+ years of experience in Enterprise Cloud Architect in Azure cloud
- Experience on building the platform architecture using azure cloud
- Expert in designing the secure azure components, services etc
- Azure Security and Identity services (e.g., Security Center, Azure Active Directory, RBAC, NSGs / ASGs)
- Azure Networking services (e.g., VNETs, Load Balancers, Front Door, ExpressRoute, Traffic Manager, Content Delivery Network)
- Cloud Automation and Infrastructure as Code (e.g., CloudShell, PowerShell, ARM, Webhook and runbook)
- Strong understanding of features and capabilities of the Microsoft Cloud Platform (Security, Firewalls, AMLS, Key Vault, Databricks, Blob Storage, App Insights)
- Deep technical experience in one or more of the following competencies: Software, DevOps, Infrastructure, Security, automation
- Provides overall technical architecture leadership and direction on project engagements.
- Knowledge of Team topologies is a plus
- Knowledge of User Research & User eXperience practices
- Customer facing experience

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