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Digital Development Platform Autonomous Flows Autonomous Flows Advisors

At the core of 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 solid engineering, data-centricity, and close business collaboration, the team advances AI/ML delivery practices and enables impactful solutions that improve visibility, optimization and innovation across the enterprise.

Responsibilities

As a senior member of the product team, you will partner with product owners, ML engineers, application developers and business SMEs to build and scale advanced GenAI and agent-based systems embedded in digital products. This role emphasizes reasoning-driven AI, self-directed execution and significant informal leadership to support broader organizational goals.

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
Integrate GenAI capabilities into enterprise applications, enabling seamless, human-in-the-loop and professional decision-making
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 / Master's degree in Computer Science / Engineering / Data Science / Similar specialization
With 8+ years of experience in AI/ML, software engineering, data or analytics, focusing on digital solutions development
5-8 years of core experience in AI/ML solution development, ML engineering, with a focus on NLP and applied GenAI system
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
Experience integrating GenAI solutions into enterprise applications using APIs, microservices, and containerized environments
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
- Apply advanced techniques including RAG, prompt orchestration, memory management and tool/agent coordination
- Translate business problems into intelligent AI workflows combining human-in-the-loop and self-directed decision-making
- Apply responsible AI practices, including guardrails, bias mitigation, and safe system behavior
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)
- Ability to bridge classical ML approaches with emerging GenAI paradigms, applying the right techniques to deliver reliable and maintainable solutions
- 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

What We Offer
Purpose - An opportunity to help address climate change and support 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 clear focus on continuous learning, knowledge sharing and expanding into agentic autonomous flows
Global collaboration & collaborative team culture - Work within a multicultural Denmark-India setup that values trust, collaboration and mutual support to deliver meaningful impact
Opportunity to shape your role - Play a key role in scaling agentic autonomous flows and high-value AI/ML solutions, with the opportunity to guide direction, approaches, and outcomes
Supportive and inclusive environment - Thrive in a diverse, inclusive workplace that promotes well-being, work-life balance and enables individuals to bring their full potential to work
Career growth in a global organization - Be part of a global organization where you can continuously develop your skills, learn new skills, and grow your career
Overall, we offer you the opportunity to grow your career while working in a global, multicultural environment that promotes continuous learning and development.

Additional Information

Your primary workplace will be Vestas India, Chennai.

Please note: We do amend or withdraw our jobs and reserve the right to do so at any time, including before the advertised closing date. Please be advised to apply on or before 30th September 2026.

Our commitment to a fair hiring
At Vestas, we evaluate all candidates solely based on their professional experience, education, and relevant skills. To support a fair recruitment process, we kindly ask that you remove any photos, dates of birth or graduation, gender pronouns, marital status, or other personal information not relevant to the role before submitting your CV/resume. Your CV/resume should focus on your professional and educational background, along with the necessary contact details (email and phone number). We train our hiring teams in inclusive evaluation and regularly review process outcomes to ensure fairness.

DEIB Statement
At Vestas, we recognize the value of diversity, equity, and inclusion in driving innovation and success. We strongly encourage individuals from all backgrounds to apply, particularly those who may hesitate due to their identity or feel they do not meet every criterion. As our CEO states, Expertise and talent come in many forms, and a diverse workforce enhances our ability to think differently and solve the complex challenges of our industry. Your unique perspective is what will help us powering the solution for a sustainable, green energy future.

BEWARE - RECRUITMENT FRAUD
It has come to our attention that there are a number of fraudulent emails from people pretending to work for Vestas. Read more via this link,

Senior ML Engineer (NLP/GenAI) Job Details | Vestas