Brillio
Brillio
Brillio is a technology consulting company helping organizations navigate digital transformation across healthcare, insurance, logistics, financial services, telecom and media, life sciences, and retail. Its work spans customer experience, data and AI, generative AI, product and platform engineering, and infrastructure, cloud, and security. Brillio combines engineering expertise with industry knowledge to develop digital products and modernize technology environments, helping businesses respond to changing market and technology demands.

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.

Description

  • 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.

Requirements

  • 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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