Agentic AI Platform Architect
hace 3 días
Mollet del Vallès
Overview 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. Compensaciones / Beneficios • high-autonomy engineering culture, • flexible working models, • global, diverse environment, • opportunity to impact life-changing R&D, • culture of inclusion and belonging, • career development across a global company Responsabilidades, • 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 Requisitos principales, • 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, • Terraform, Helm, Kustomize, Argo CD, Argo Workflows