Digital Solutions > Digital Development Platform > Autonomous Flows > AI/ML Chapter

At the core of the Data & AI organization, the AI/ML Chapter serves as the capability home for AI/ML, supporting craft excellence, skills development and scalable delivery practices across Vestas. With a global footprint spanning India and Denmark, the team partners closely with product owners and engineering teams to build and scale AI/ML solutions embedded in digital products across the value chain.

The chapter focuses on building and scaling AI/ML capabilities for high-value and autonomous flow use cases, providing consistent know-how across product areas, ensuring readiness for emerging paradigms such as LLMs and agentic AI, and enabling scalable delivery through a balanced mix of internal capability development and strategic partnerships. Through robust engineering rigor, data-centricity, and close business collaboration, the team advances AI/ML delivery practices and enables impactful solutions that bring visibility, optimization and innovation across the enterprise.

Responsibilities

- Design, build and scale GenAI and agentic systems capable of reasoning, planning, and effectively executing complex tasks
- Build the design and delivery of end-to-end solutions leveraging LLMs, multi-agent workflows, memory and tool integration frameworks
- Develop intelligent workflows using techniques such as prompt engineering, RAG, context orchestration and function/tool calling
- Define and promote reusable design patterns, frameworks and engineering standards for agent-based and generative AI systems
- Own end-to-end delivery of GenAI initiatives while advising stakeholders on use case feasibility and responsible AI adoption balancing experimentation with production considerations such as performance, cost,



reliability and governance

Qualifications

Bachelor's or Master's degree in Computer Science, AI Engineering or related field, with 10+ years of experience in software engineering, data or analytics, focusing on digital solutions development

AI/ML Solutions Experience:

- 4-6 years of experience in AI/ML solution development, ML engineering, with a focus on NLP and applied GenAI systems
- Practical experience with LLM ecosystems (e.g., OpenAI, Azure OpenAI, open-source models), prompt engineering and context design
- Practical experience with RAG architectures, embeddings, vector databases and knowledge-grounded AI systems
- Familiarity with evaluation techniques for LLMs (factuality, hallucination mitigation, safety and quality benchmarking)
- Understanding of LLMOps practices, including versioning, monitoring, cost control, and governance
- Experience/exposure to designing agentic workflows, including planning, tool usage, memory and multi-step reasoning pipelines

Competencies

LLM Systems Architecture & Delivery

- Architect scalable, reliable GenAI systems with focus on performance, cost, latency and user experience
- Establish reusable design patterns and frameworks for building and scaling agentic and LLM-based solutions
- Manage end-to-end delivery of GenAI systems from prototyping to production adoption

GenAI & Agentic Systems Design





- Design and build generative AI and agent-based systems that support reasoning, planning, and self-directed execution of complex workflows
- Translate business problems into intelligent AI workflows combining human-in-the-loop and self-directed decision-making

Foundational AI/ML & Software Engineering

- Solid grounding in ML fundamentals and software engineering, enabling translation of business problems into robust, scalable AI/ML solutions
- Experience in designing, building and integrating production-grade systems using modern engineering practices (APIs, microservices, CI/CD, containerization)
- Effectively leverage AI-assisted development tools (e.g., GitHub Copilot, Claude Code) to accelerate prototyping, improve engineering quality and enhance developer productivity in building AI/ML and GenAI solutions

Global Collaboration & Enablement

- Effective collaboration across geographically distributed teams (Denmark, India, Portugal), with cross-cultural awareness and communication
- Ability to build alignment across product, AI/ML engineering, platform and MLOps teams to shared engineering outcomes
- Demonstrated capability in mentoring and enabling teams through knowledge sharing, best practices and informal leadership

What We Offer

- Purpose. An opportunity to help address climate change and future generations through building AI/ML, GenAI and agentic solutions that power the future of renewable energy and sustainable operations
- Accelerated learning & growth. Join a high-caliber global team of AI/ML engineers, data scientists and GenAI practitioners, with a explicit focus on continuous learning, knowledge sharing and expanding into agentic autonomous flows
- Global collaboration & supportive team culture. Work within a multicultural Denmark-I

📌 Senior Ml Engineer (Nlp/genai) (Chennai)
🏢 Vestas
📍 Chennai