Agentic AI Platform Architect

Biopharma Careers; Mollet del Vallès; Presencial; EUR 90.000 - 120.000; Jornada completa

Descripción de la vacante

Biopharma Careers is seeking an Agentic AI Platform Architect to lead the design and operation of a cloud-native platform that enables agents and integrates into enterprise ecosystems. You will write production code, build pipelines, own deployments, and mentor peers in a fast-paced, quality-driven environment.

You will collaborate with international teams, guide architectural decisions, and ensure security, scalability and reliability across the platform.

Formación

• 8+ years of relevant experience building secure, scalable, cloud-native backend systems at enterprise scale.
• Experience architecting complex cloud-native solutions and 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 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 using Terraform, Helm, Kustomize, Argo CD and Git.
• Experience building CI/CD pipelines, preferably with Azure DevOps.
• Strong Python production 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)

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, 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.

Conocimientos

Ownership

Curiosity

Collaboration

Influence decisions

Business English

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Amazon EKS

Terraform

Helm

Kustomize

Argo CD

Argo Workflows

Azure DevOps

boto3 (Python AWS SDK)

Descripción del empleo

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

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.

What we offer

We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!