Agentic AI Platform Architect

THE OPPORTUNITY

At the intersection of cloud engineering and artificial intelligence, this role offers a rare opportunity to architect the foundational platform that powers the next generation of intelligent, autonomous systems across a global science and technology enterprise. As Agentic AI Platform Architect, you will be actively designing, implementing, integrating and operating cloud-native backend systems that together form a cohesive ecosystem for Agentic AI applications. In particular, you will focus on the evolution of a cloud-based agentic AI platform that enables building and orchestrating agents and is connected into the wider ecosystem. You will be hands-on in writing production code, building pipelines, owning deployments, and taking end-to-end accountability for the solutions you deliver. In addition, you will be able to work with and guide other team members. If you thrive building things that matter, in a team that values quality, ownership, and continuous improvement, this role is for you.

Your key responsibilities:

·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, together with a team of engineers.

·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. 

In return, we offer direct impact on life-changing R&D, a high-autonomy engineering culture with experienced peers, flexible working models, and the purpose-driven environment of a global science and technology company.

WHO YOU ARE

Mindset & Ways of Working

· Strong sense of ownership and accountability – you build it, you run it.

· Curious and eager to learn; comfortable adapting to evolving technologies and requirements.

· Collaborative team player in a cross-functional, international environment. 

· Ability to influence technical decisions in a fact-based manner, clearly explaining the underlying rationale and gaining stakeholder and technical team buy-in. 

Experience & Qualifications

· 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, including RBAC, networking, ingress, autoscaling, upgrades and troubleshooting.

· 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)

Nice to Have: 

•    AgentCore, Amazon Bedrock

•    OpenTelemetry, Langfuse or comparable agent and LLM observability platforms.

•    Aurora PostgreSQL, DynamoDB, SQS or similar distributed state and messaging services.

•   Argo Workflows, Keycloak or another enterprise identity provider, and External Secrets Operator.