AI Enablement Engineer

ScreenPoint Medical

. Lead ScreenPoint Medical’s AI enablement effort .

Posted 10/2/2026full-timeNijmegen • NetherlandsSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI enablement, focusing on building and integrating AI-powered tools while ensuring security and operational efficiency. Proven ability to lead DevOps practices, particularly in cloud environments, with a strong emphasis on Kubernetes and CI/CD pipeline design.

Highest-signal resume keywords

AI/LLM Tooling ExperienceDevOps with AWSKubernetes ManagementCI/CD Pipeline DesignInfrastructure-as-Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI ToolingDevOpsKubernetesCI/CD Pipeline DesignInfrastructure-as-CodeAWSTerraformGitJenkinsArgo

Soft Skills

Self-StarterLeadershipChange ManagementCollaborationEvangelism

Tools & Technologies

GitOpsAPIsAutomation FrameworksBitBucketRAG

Certifications & Qualifications

Certificate of Conduct (VOG)

Industry Keywords

Healthcare SoftwareRegulated Environments

Tech Stack

Tools & technologies

AWSCloudJenkinsKubernetesTerraform

About the role

Key responsibilities & impact

Lead ScreenPoint Medical’s AI enablement effort
Identify internal workflows worth automating and prioritize what gets built
Build AI-powered tools to accelerate internal workflows in collaboration with workflow-owning teams
Apply security as a guiding principle throughout design and development
Drive adoption by evangelizing AI tooling internally and helping colleagues and teams gain value from the tools
Build internal production-grade tools, shipping quickly and iterating from proof of concept to daily-use solutions
Integrate LLM/AI capabilities, including APIs, agents, RAG, and automation frameworks, into internal tools and pipelines
Design, build, and maintain GitOps-based CI/CD pipelines
Own and evolve Kubernetes-based infrastructure, including deployments, scaling, observability, and cost
Take full ownership of solutions from idea through production support

Requirements

What you’ll need

Self-starter able to lead AI enablement end-to-end, from stakeholder discussions through shipping, operating, and driving adoption
Track record of inventing solutions and driving change
Experience building with AI/LLM tooling (APIs, agent/orchestration frameworks, automation), or strong software engineering skills with clear, demonstrated momentum toward AI tooling
At least 7 years of experience in DevOps supporting cloud development
Last 1–2 years focused on AI enablement and tooling
Strong hands-on DevOps experience with AWS, Argo, Jenkins, Git, Terraform, CI/CD pipeline design, and Infrastructure-as-Code
Solid, practical knowledge of Kubernetes, including deployment, scaling, troubleshooting, and cluster operations
Knowledge of BitBucket preferred
Background in regulated or healthcare software environments preferred
Must provide a Certificate of Conduct (VOG) or background check as part of the application procedure

Benefits

Comp & perks

Career development opportunities
Certificate of Conduct (VOG) or background check as part of the application procedure