Cloud Solutions Architect

Key Responsibilities: AI Platform EnablementBuild and support enterprise AI platform capabilities including GenAI, LLM, and AI development services. Enable secure access to platforms such as Azure AI, Azure OpenAI, AWS Bedrock, Vertex AI, and similar services. Establish governance, security, and cost controls for AI workloads. Accelerate adoption of AI-assisted engineering and business solutions. Define and execute the cloud platform strategy and roadmap. Establish cloud architecture standards, governance, and engineering best practices. Lead modernization and adoption of cloud-native technologies. Build self-service platform capabilities for application teams. Drive Infrastructure as Code (Terraform, CloudFormation, Pulumi) and automation initiatives. Improve developer experience through platform engineering and CI/CD capabilities. Lead enterprise container and Kubernetes platform initiatives. Ensure platform reliability, scalability, observability, and disaster recovery readiness. Implement SRE practices and operational excellence frameworks. Security, Governance & FinOpsImplement cloud security, compliance, and governance controls. Drive cloud and AI cost optimization through FinOps practices. Establish operational metrics, SLOs, and platform performance KPIs. Leadership & Stakeholder ManagementLead teams of cloud engineers, platform engineers, DevOps, and SRE professionals. Partner with application, security, data, and product teams. Communicate platform strategy and investment priorities to senior leadership.

Required Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. 12+ years in Cloud Engineering, Platform Engineering, DevOps, SRE, or Infrastructure Engineering. 5+ years leading cloud/platform engineering teams. Strong experience with AWS, Azure, GCP, or multi-cloud environments. Hands-on expertise in Kubernetes, Infrastructure as Code, CI/CD, cloud networking, observability, and security. Experience building and operating enterprise-scale cloud platforms. Experience enabling AI/ML or Generative AI platforms within cloud environments.

Preferred Qualifications: Experience building Internal Developer Platforms (IDP). Experience with Azure OpenAI, Azure AI Services, AWS Bedrock, Vertex AI, OpenAI, or Anthropic. Knowledge of DevSecOps, SRE, Platform Engineering, and FinOps practices. Cloud certifications from AWS, Azure, or Google Cloud.