Agentic Ai Platform Architect

In this role, you will architect and operate a cloud-native platform that powers intelligent, autonomous AI applications across a global enterprise. You’ll own the platform strategy, design multi-tenant Kubernetes environments, and drive end-to-end delivery with a focus on security, reliability, and scalable operations. You’ll mentor engineers and collaborate with cross-functional teams to turn complex AI and MLOps needs into reusable platform patterns. This is a mission-driven opportunity to shape how agentic AI drives impact in healthcare and life sciences.

• opportunity to impact life-changing R&D
• culture of inclusion and belonging
• career development across a global company
• Own the platform architecture, technical roadmap and ADRs within the broader agentic AI strategy
• Design, build and operate the multi-tenant Kubernetes platform using Amazon EKS, Terraform, Helm, Kustomize, Argo CD and Argo Workflows
• Build repeatable onboarding, promotion, recovery and decommissioning capabilities through Azure DevOps and GitOps
• Implement identity and tenant isolation across OIDC, Kubernetes RBAC and impersonation, AWS workload identity and secrets management
• Design secure integrations with models, tools, MCP/A2A services and other enterprise platforms
• Own operational readiness, including SLOs, telemetry, agent and LLM tracing, evaluation, capacity, cost, incident response, upgrades, backup/restore and rollback
• Develop and review production Python, Terraform modules, Helm charts and pipeline templates
• Establish technical standards, documentation and reusable platform patterns, and mentor other engineers
• University degree in Computer Science, Engineering, or equivalent
• 8+ years of relevant experience building secure, scalable, resilient cloud-native backend systems at enterprise scale
• Experience in architecting complex cloud-native solutions and in guiding teams in their implementation
• Hands-on experience designing and operating production Kubernetes platforms, preferably Amazon EKS
• Strong AWS platform engineering experience across EKS, ECR, IAM/workload identity, VPC/private connectivity, ALB/WAF, Route 53, Secrets Manager, CloudWatch and S3
• Strong Infrastructure as Code and GitOps experience using Terraform, Helm, Kustomize, Argo CD and Git
• Experience building and governing CI/CD pipelines, preferably with Azure DevOps
• Strong production Python experience, including boto3, API integration, automated testing and operational automation
• Experience with OIDC/OAuth2/JWT, least-privilege access, tenant isolation, Kubernetes RBAC and secure secrets management
• Practical experience building or operating GenAI or agentic systems, including tool integration, state and memory, evaluation, observability and failure handling
• Understanding of MCP and A2A, particularly authentication, authorization, service boundaries and enterprise governance
• Business-fluent English (written and spoken)
• Strong sense of ownership and accountability
• Curious and eager to learn; comfortable with evolving tech
• Collaborative, cross-functional teamwork in international settings
• Kubernetes platform design and operation (EKS)
• AWS services: EKS, ECR, IAM, VPC, Route 53, Secrets Manager, CloudWatch, S3