Lead AI Engineer—Production ML & Climate Systems

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

Benefits offered by this job

Equity participation

Annual performance bonus

Hybrid work setup

Job summary

Enjins is seeking a Lead AI Engineer to be the technical owner of client engagements, architect solutions, and ship production-grade AI systems. You will shape roadmaps, set MLOps standards, and mentor engineers while collaborating across multiple stacks and cloud platforms.

You will contribute to the evolution of our engineering practice, ensure reliability, and help grow capabilities in energy and climate domains through hands-on leadership and strategic direction.

Qualifications

• 5+ years building and scaling data & AI solutions in production environments.
• Strong software engineering fundamentals; production-grade code and infrastructure know-how (CI/CD, data pipelines).
• Mastery of at least one major cloud platform (AWS/Azure/GCP) and experience leading MLOps/LLMOps architectures.

Responsibilities

• Architect AI roadmaps with client leadership and own them through to production.
• Create and implement AI solution architectures to deliver on roadmaps.
• Set and uphold Data Platform and MLOps standards across client portfolio; ensure long-term health.
• Mentor engineers and contribute to hiring and team growth.
• Push engineering practice forward with agentic coding workflows; test, document, and share best practices.

Skills

Data & AI in prod

Docker & Kubernetes

Cloud platforms (AWS/Azure/GCP)

LLM/Agentic systems

Mentoring engineers

English fluency

Work eligibility NL

Tools

CI/CD

Data pipelines

MLOps platforms

Git & CI tooling

Job description

Enjins is seeking a Lead AI Engineer to be the technical owner of client engagements, architect solutions, and ship production-grade AI systems. You will shape roadmaps, set MLOps standards, and mentor engineers while collaborating across multiple stacks and cloud platforms.

You will contribute to the evolution of our engineering practice, ensure reliability, and help grow capabilities in energy and climate domains through hands-on leadership and strategic direction.