Senior AI/ML Architect: GenAI & Agentic Solutions

Vestas; København; On-site; DKK 900,000 - 1,500,000; Full time

Job summary

Vestas seeks a Specialist in AI/ML who will lead the design, delivery and scaling of AI/ML, GenAI and agentic solutions across the value chain. You will collaborate with product owners, engineers and stakeholders to craft high-impact AI-enabled features in a global Denmark-India environment.

You will own end-to-end delivery, advocate for scalable patterns, governance and robust data practices while advancing production-grade AI across R&D, manufacturing, supply chain and service.

Qualifications

• Master’s degree in a relevant field and 8+ years of ML engineering experience.
• Proficient in Python and production-grade ML code.
• Hands-on with ML frameworks (TensorFlow, PyTorch) and GenAI/Agentic tools.

Responsibilities

• Collaborate with product owners and engineers to scale AI/ML capabilities.
• Lead design and delivery of ML, GenAI, and agentic solutions with measurable business impact.
• Integrate AI/ML into enterprise apps and promote reusable patterns and standards.
• Own end-to-end delivery across multiple initiatives, balancing speed and quality.
• Guide solution design aligned with governance and business goals.
• Partner with stakeholders on AI/ML strategy and architecture.

Skills

AI/ML Solutions Experience

Python

ML frameworks

GenAI/Agentic frameworks

RESTful API design

Docker

Kubernetes

MLOps

Education

Master's degree in CS/DS/Engineering

8+ years ML engineering

Tools

Python

Scikit-learn

TensorFlow

PyTorch

Langchain / LangGraph / Pydantic AI

Azure

Snowflake

Job description

Vestas seeks a Specialist in AI/ML who will lead the design, delivery and scaling of AI/ML, GenAI and agentic solutions across the value chain. You will collaborate with product owners, engineers and stakeholders to craft high-impact AI-enabled features in a global Denmark-India environment.

You will own end-to-end delivery, advocate for scalable patterns, governance and robust data practices while advancing production-grade AI across R&D, manufacturing, supply chain and service.