Lead AI Engineer - Production & MLOps Architect

Enjins; Utrecht; Hybrid; EUR 66,000 - 87,000; Full time

Benefits offered by this job

Equity participation (VSOP)

Annual performance bonus

Hybrid setup

28 vacation days

Job summary

Enjins, an AI development partner based in Utrecht and Berlin, is looking for a Lead AI Engineer to own client engagements, architect AI solutions, and deliver production‑grade systems. You will shape the engineering team, set Data Platform and MLOps standards, and mentor engineers across multiple client portfolios, ensuring reliable, scalable outcomes.

Join a climate‑focused, cloud‑level engineering culture that values practical product thinking and hands‑on leadership to drive impactful AI in

Qualifications

• 5+ years building and scaling data & AI in production.
• Strong software fundamentals and production‑grade code.
• Fluent English, eligible to work in the Netherlands.
• Experience leading MLOps/LLMOps architectures.

Responsibilities

• Design AI roadmaps with client leadership and own them through to production.
• Create and implement the AI solution architectures to deliver on those roadmaps.
• Set and uphold Data Platform and MLOps standards across your client portfolio.
• Mentor engineers and weigh in on hiring, team growth, and accounts.
• Push our engineering practice forward, including agentic coding workflows.
• Elevate our product mindset to ensure we build the right things, not just more things.

Skills

Data & AI production

MLOps

Cloud platforms

Mentoring engineers

Docker & Kubernetes

Tools

Docker

Kubernetes

CI/CD

Job description

Enjins, an AI development partner based in Utrecht and Berlin, is looking for a Lead AI Engineer to own client engagements, architect AI solutions, and deliver production‑grade systems. You will shape the engineering team, set Data Platform and MLOps standards, and mentor engineers across multiple client portfolios, ensuring reliable, scalable outcomes.

Join a climate‑focused, cloud‑level engineering culture that values practical product thinking and hands‑on leadership to drive impactful AI in