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Senior Enterprise Architect - Cloud and AI Infrastructure
Lead enterprise architecture, multi-cloud infrastructure, AI resilience, and modernization programs across Azure, AWS, and GCP at Brillio. Advise executives while governing cloud transformation and responsible AI adoption.
विवरण
- Define enterprise architecture roadmaps, cloud strategies, and target-state architectures that deliver measurable business outcomes.
- Design and govern scalable cloud and hybrid infrastructure across Azure, AWS, and GCP.
- Create and maintain reference architectures, landing zones, modernization frameworks, and solution blueprints.
- Advise CXOs and senior stakeholders on technology transformation, responsible AI adoption, and modernization.
- Set standards, governance frameworks, best practices, and reusable accelerators for the Cloud, AI & Infrastructure Center of Excellence.
- Lead cloud migration, modernization, and platform engineering initiatives.
- Advance cloud-native architecture, automation, DevOps, containerization, and infrastructure-as-code practices.
- Implement cloud governance, security, compliance, and FinOps strategies.
- Build resilience patterns for mission-critical AI workloads, including business continuity, operational readiness, and safeguards against model or provider failure.
- Define measurable reliability and performance metrics.
आवश्यकताएँ
- 18–21 years of experience, including extensive leadership in enterprise architecture, cloud infrastructure, and technology consulting across Azure, AWS, and GCP.
- Knowledge of enterprise architecture methodologies and frameworks such as TOGAF and Zachman.
- Expertise with Azure, AWS, and GCP cloud platforms.
- Experience leading cloud migration, modernization, and platform engineering.
- Hands-on experience with infrastructure-as-code tools such as Terraform and Azure Resource Manager.
- Experience with cloud-native architectures, Kubernetes, Docker, and automation frameworks.
- Knowledge of cloud governance, security, compliance, and FinOps strategies.
- Experience designing AI-enabled infrastructure and operational resilience patterns.
- Ability to develop solution blueprints, reference architectures, and modernization frameworks.
- Experience establishing observability, operational readiness, and controls for AI workloads.
- Preferred: Experience with multi-cloud integration and provider-independent architecture patterns.
- Preferred: Advanced AI operational controls, including model drift management, auditability, and human-in-the-loop safeguards.
- Preferred: Business continuity and disaster recovery frameworks for AI workloads.
- Preferred: Experience developing reusable intellectual property and solution accelerators.
- Preferred: Cloud platform engineering experience supporting large-scale enterprise transformations.
- Desired: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a closely related field.
- Desired: AWS Certified Solutions Architect, Azure Solutions Architect, or Google Professional Cloud Architect certification.
- Desired: TOGAF or equivalent enterprise architecture framework certification.
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