Technical Architect (Agentic Biomedical Research Platform)

Job Description

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.

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This is a highly technical architecture role focused on translating scientific and business needs into scalable cloud solutions.

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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.

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Location & Schedule:

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• Hybrid onsite in Waukegan, IL
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• 3 days per week onsite
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• Local candidates strongly preferred
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This Technical Architect will lead architectural planning and implementation for an agentic biomedical research platform within an AWS environment.

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You will partner with research scientists, engineers, and business stakeholders while helping ensure that solutions meet appropriate governance, security, scalability, reliability, and operational standards.

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Key Responsibilities

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• Lead the technical architecture and implementation of an agentic biomedical research platform within AWS.
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• Facilitate onboarding of biomedical research software and evaluate interoperability with other tools and platforms.
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• Translate scientific, engineering, and business requirements into scalable technical solutions.
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• Design and support cloud and hybrid high-performance computing (HPC) solutions.
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• Deploy and manage containerized workloads using Amazon EKS and Amazon ECS.
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• Support GitOps-based continuous delivery practices.
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• Address architecture across networking, security, identity, provisioning, storage, autoscaling, workload placement, and lifecycle operations.
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• Implement monitoring and observability for cloud and containerized workloads, including metrics, dashboards, and alerting.
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• Apply infrastructure-as-code, scripting, automation, and DevOps practices to improve reliability and cost management.
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• Clearly communicate architectural decisions, trade-offs, and technical concepts to both technical and non-technical stakeholders.
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Required Qualifications

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• Master’s degree with at least 5 years of relevant experience, or bachelor’s degree with at least 7 years of relevant experience.
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• Strong AWS architecture experience.
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• Hands-on experience with agentic AI development.
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• 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.
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• Strong Docker and Kubernetes knowledge, including deploying and managing workloads on EKS and ECS.
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• Experience with GitOps-based continuous delivery using Argo CD.
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• Experience implementing monitoring and observability using tools such as Prometheus and Grafana.
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• 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.
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• Strong scripting, automation, and DevOps skills.
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• Ability to work independently while collaborating effectively across scientific, engineering, and business teams.
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• Strong written and verbal communication skills.
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Nice-to-Have Qualifications

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• AWS certification, such as AWS Solutions Architect or AWS DevOps.
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• High-performance computing (HPC) experience.
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• Parallel cluster experience.
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• Knowledge of biomedical research.
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• Experience within pharmaceutical, healthcare, or another regulated industry.
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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.
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• Combination of agentic AI, AWS cloud architecture, Kubernetes/containerization, and scientific computing.
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• Highly collaborative position working across scientific, engineering, and business stakeholders.
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• Opportunity to influence architectural decisions involving security, governance, scalability, interoperability, and cloud operations.
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Engagement Details

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• 90-day contract engagement
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• The engagement is not expected to extend beyond the initial three-month term.
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Interview Process

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• One panel interview with the intent to make a hiring decision following that round.
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Beacon Hill is an Equal Opportunity Employer that values the strength diversity brings to the workplace. Individuals with Disabilities and Protected Veterans are encouraged to apply.

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Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records.

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California residents: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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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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The client will remain confidential throughout the initial stages of the hiring process.