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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing AI solution architectures while leading MLOps standards and mentoring engineering teams. Proficient in managing the full technical lifecycle and translating complex technical concepts for non-technical stakeholders.
Highest-signal resume keywords
AI Solution ArchitectureMLOps LeadershipCloud Platform MasteryProduction-Grade CodingData Pipeline Infrastructure
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Roadmap DesignData & AI Solutions DevelopmentSoftware Engineering FundamentalsProduction Coding ExperienceMLOps ArchitectureLLM-Based Systems ProductionAgentic Coding Workflows
Soft Skills
Mentoring EngineersClient Account ManagementTechnical Communication
Tools & Technologies
DockerKubernetesCI/CDAWSAzureGCP
Industry Keywords
Data Platform StandardsEngineering Practice AdvancementTechnical Roadmap OwnershipEuropean Technology Scale-Ups
Tech Stack
Tools & technologiesAWSAzureCloudDockerGoogle Cloud PlatformKubernetes
About the role
Key responsibilities & impact- Design AI roadmaps with client leadership and own them through production
- Create and implement AI solution architectures
- Set and uphold Data Platform and MLOps standards across the client portfolio
- Mentor engineers and contribute to hiring, team growth, and account development
- Advance the engineering practice, including agentic coding workflows
- Test, document, and share effective engineering practices
- Promote a product mindset focused on building the right solutions
- Own the technical roadmap of client engagements
- Embed with engineering teams at European technology scale-ups
- Take ownership of the full technical lifecycle from architecture through long-term production operation
Requirements
What you’ll need- 5+ years building and scaling data & AI solutions in production environments
- Strong software engineering fundamentals
- Production-grade coding experience
- Infrastructure experience with Docker, Kubernetes, CI/CD, and data pipelines
- Mastery of at least one major cloud platform: AWS, Azure, or GCP
- Experience leading MLOps/LLMOps architectures
- Proven experience taking LLM-based or agentic systems to production
- Experience mentoring engineers, overseeing delivery, and managing client accounts
- Ability to translate technical complexity into clear decisions for non-technical stakeholders
- Fluent in English
- Eligible to work in the Netherlands
Benefits
Comp & perks- Annual performance bonus of 1.5 months' salary
- Equity participation (VSOP)
- AI-Leap structured development programme with a dedicated certification budget and a specialised track for Leads
- 1-on-1 mentoring with founders and external coaching
- Hybrid setup
- 28 vacation days, flexible across 3 national holidays
- Monthly team events
- Annual two-day Enjins Summer Summit on AI × Climate
- OV-First travel policy, fully covered
- Meat-free catering
- Apple MacBook Pro and required tools
