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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

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 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
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

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 clear focus on continuous learning, knowledge sharing and expanding into agentic autonomous flows
Global collaboration & supportive 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 responsibility 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 build your skills while growing your career in a global, multicultural environment that encourages continuous learning and development.

Additional Information

The work location is in Chennai, India Please note: We do amend or withdraw our jobs and reserve the right to do so at any time, including prior to the advertised closing date.

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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

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