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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 part of the product team, you will collaborate with product owner, ML engineers, application developers and business SMEs to develop and scale GenAI and agent-based capabilities within digital products. This role focuses on active development, learning, and contributing to valuable AI solutions
Contribute to the design, development and deployment of GenAI and agentic systems supporting reasoning, planning, and semi-autonomous workflows
Build and enhance components of GenAI solutions using LLMs, RAG pipelines, prompt engineering and tool integration
Develop intelligent workflows using techniques such as prompt engineering, context orchestration and function/tool calling
Integrate GenAI capabilities into enterprise applications using APIs, microservices, and containerized environments
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Collaborate with senior AI engineers to implement scalable, reliable GenAI systems and follow established design patterns and standards
Participate in end-to-end delivery of GenAI initiatives, contributing to development, testing and deployment
Continuously learn and adopt best practices in GenAI, NLP, and agentic systems development
Qualifications
AI/ML Solutions Experience
Bachelor's or Master's degree in Computer Science / Engineering / Data Science / or similar specialization
6+ years of experience in AI/ML, software engineering, data or analytics, focusing on digital solutions development
2-5 years of core 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), including prompt engineering and basic context design
Practical experience with RAG architecture, embeddings or vector databases
Experience building and integrating applications using APIs, microservices or containerized environments
Familiarity with software engineering best practices (version control, testing, CI/CD basics)
Exposure to agentic workflows, including tool usage, chaining, or multi-step reasoning
Familiarity with LLM evaluation concepts and basic understanding of LLMOps practices such as monitoring, versioning, and cost awareness
Competencies
LLM Systems Engineering
Ability to contribute to building scalable and reliable GenAI systems with focus on performance and maintainability o Understanding of standard design patterns and engineering practices for LLM-based applications
Familiarity with deploying and integrating GenAI solutions into production environments
GenAI & Agentic Solution Development
Practical experience in developing GenAI and agent-based solutions for structured workflows and assisted decision-making
Working knowledge of techniques such as RAG, prompt engineering and tool integration
Ability to implement intelligent workflows combining human-in-the-loop and automated processes under guidance
Foundational AI/ML & Software Engineering
Solid foundation in ML concepts and software engineering principles for building maintainable systems
Experience developing and integrating services using APIs, microservices and modern engineering practices
Proficiency in leveraging AI-assisted development tools (e.g., GitHub Copilot, Claude Code) to improve productivity and code quality
Global Collaboration & Enablement
Ability to collaborate effectively within distributed teams across geographies
Solid teamwork skills working with senior engineers and cross-functional stakeholders
Demonstrates a continuous learning mindset with interest in GenAI, NLP and agentic systems
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 July 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
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