Lead AI Engineer — Production ML & Cloud Architect

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

Benefits offered by this job

Annual bonus

Equity (VSOP)

Hybrid work

Office Utrecht

Job summary

Enjins, an AI production specialist, is seeking a Lead AI Engineer to own client engagements, architect solutions, and ship systems to production. You will shape the engineering team, set MLOps standards, and mentor engineers while collaborating across multiple stacks and clouds.

You will lead the technical roadmap for engagements, contribute to hiring, and help advance the company’s product mindset, with a focus on energy and climate applications.

Qualifications

• 5+ years building and scaling data & AI in production.
• Production-grade software engineering, Docker, Kubernetes, CI/CD.
• Experience with LLM-based or agentic systems to production.
• Fluent English and eligible to work in the Netherlands.

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 with agentic coding workflows to build faster without compromising reliability.
• Elevate our product mindset to ensure we build the right things, not just more things.

Skills

AI in production

Docker & Kubernetes

CI/CD

Cloud platforms

LLMOps

Mentoring

Client communication

English fluency

Tools

Docker

Kubernetes

CI/CD pipelines

Cloud platforms (AWS/Azure/GCP)

Job description

Enjins, an AI production specialist, is seeking a Lead AI Engineer to own client engagements, architect solutions, and ship systems to production. You will shape the engineering team, set MLOps standards, and mentor engineers while collaborating across multiple stacks and clouds.

You will lead the technical roadmap for engagements, contribute to hiring, and help advance the company’s product mindset, with a focus on energy and climate applications.