Technical Architect (Agentic Biomedical Research Platform)

This Technical Architect will lead architectural planning and implementation for an agentic biomedical research platform within an AWS environment.

The ideal candidate combines deep AWS architecture experience with hands-on exposure to agentic AI development. You will help shape the technical vision for the platform, guide its implementation, and address architecture across containers, security, networking, identity, storage, observability, automation, and high-performance computing., * Master’s degree with at least 5 years of relevant experience, or bachelor’s degree with at least 7 years of relevant experience. \n

• Strong AWS architecture experience. \n

• Hands-on experience with agentic AI development. \n

• Strong understanding of AWS services, including Amazon ECS, Amazon EKS, Elastic Load Balancing/Application Load Balancers, Amazon S3, Amazon DocumentDB, Amazon Bedrock, and Amazon FSx. \n

• Strong Docker and Kubernetes knowledge, including deploying and managing workloads on EKS and ECS. \n

• Experience with GitOps-based continuous delivery using Argo CD. \n

• Experience implementing monitoring and observability using tools such as Prometheus and Grafana. \n

• Experience architecting cloud and hybrid HPC solutions across networking, security, identity, provisioning, storage, autoscaling, infrastructure as code, workload placement, cost management, monitoring, and lifecycle operations. \n

• Strong scripting, automation, and DevOps skills. \n

• Ability to work independently while collaborating effectively across scientific, engineering, and business teams. \n

• Strong written and verbal communication skills. \n, If you are an experienced AWS Technical Architect who has worked with agentic AI and enjoys solving complex cloud architecture challenges, we encourage you to apply.

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• Lead the technical architecture and implementation of an agentic biomedical research platform within AWS. \n

• Facilitate onboarding of biomedical research software and evaluate interoperability with other tools and platforms. \n

• Translate scientific, engineering, and business requirements into scalable technical solutions. \n

• Design and support cloud and hybrid high-performance computing (HPC) solutions. \n

• Deploy and manage containerized workloads using Amazon EKS and Amazon ECS. \n

• Support GitOps-based continuous delivery practices. \n

• Address architecture across networking, security, identity, provisioning, storage, autoscaling, workload placement, and lifecycle operations. \n

• Implement monitoring and observability for cloud and containerized workloads, including metrics, dashboards, and alerting. \n

• Apply infrastructure-as-code, scripting, automation, and DevOps practices to improve reliability and cost management. \n

• Clearly communicate architectural decisions, trade-offs, and technical concepts to both technical and non-technical stakeholders. \n

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• AWS certification, such as AWS Solutions Architect or AWS DevOps. \n

• High-performance computing (HPC) experience. \n

• Parallel cluster experience. \n

• Knowledge of biomedical research. \n

• Experience within pharmaceutical, healthcare, or another regulated industry. \n

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What Makes This Role Unique

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• Opportunity to shape the architecture for an AI-driven biomedical research platform before a broader future implementation. \n

• Combination of agentic AI, AWS cloud architecture, Kubernetes/containerization, and scientific computing. \n

• Highly collaborative position working across scientific, engineering, and business stakeholders. \n

• Opportunity to influence architectural decisions involving security, governance, scalability, interoperability, and cloud operations.

We are partnering with a leading enterprise organization seeking a Technical Architect (Agentic Biomedical Research Platform) to help bring an advanced AI-driven biomedical research platform into a secure AWS environment.