Lead Agentic & AI Architect (FDE) (Madrid)

Lead Agentic & AI Architect (FDE) (Madrid)

01 ago
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Kyndryl
|
Madrid

01 ago

Kyndryl

Madrid

Who We Are

At Kyndryl, we run and reimagine the mission‑critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us in a adaptable, supportive environment where your well‑being is prioritized and your potential can thrive.

The Role

As a Forward Deployed Engineer (FDE), you own end‑to‑end delivery for complex AI engagements. You translate business challenges into technical solutions, lead solution design and deployment, and operate as a trusted technical partner to customers. You are accountable not just for what gets built, but for whether it works technically, operationally, and for the people who rely on it.

You operate with significant autonomy, bring deep expertise in at least one technical domain, and confidently bridge engineering rigor with business value. You use AI‑assisted development tools across the full delivery lifecycle to accelerate learning, improve quality, and deliver measurable impact.

Responsibilities

- Customer Engagement & Solution Integrity: Partner with customers to understand business challenges and translate them into high‑quality, fit‑for‑purpose technical solutions, prioritising the right outcome over the fastest one.
- Rapid Prototyping: Build and iterate custom AI solutions tailored to customer needs, leveraging agentic AI frameworks.
- Ownership, Deployment & Partnership: Own delivery end to end, from scoping to production. Work as part of the customer team to engineer and deploy production‑ready solutions that drive adoption and measurable business outcomes.
- Optimization: Troubleshoot and enhance system performance, scalability, and reliability.
- Field Intelligence:



Systematically capture deployment learnings, document best practices, and proactively share insights to inform enhancements to Kyndryl’s core platforms and frameworks.
- Continuous Learning: Adapt quickly to emerging technologies and evolving customer requirements by engaging in ongoing professional development.
- Platform Contribution: Actively contribute to the evolution of Kyndryl’s AI platforms through feedback, code contributions, and collaboration with product teams.

Required Skills and Experience

- Programming Proficiency: Demonstrable expertise in Python (or another modern language such as C#, Node.js or TypeScript); experience with AI/ML frameworks like TensorFlow or PyTorch is a plus.
- Software Engineering: Solid grasp of the software delivery lifecycle, version control (Git & GitHub), and data engineering tools such as Pandas and Spark.
- Cloud & Distributed Systems: Experience with cloud AI platforms (AWS, Azure, Google AI) and distributed computing architectures.

Preferred Skills and Experience

- Open‑Source Ecosystems: Familiarity with community‑driven AI tools and libraries, including Hugging Face and relevant repositories.
- T‑shaped Profile: Deep technical expertise in one or two domains, with broad understanding across AI/ML, cloud, and consulting.
- Agentic AI Systems: Experience designing, building, or integrating multi‑agent systems and orchestration frameworks (e.g., LangGraph, Semantic Kernel, Agent Framework, AutoGen, CrewAI),



including the development of agent protocols and coordination mechanisms.
- Retrieval‑Augmented Generation (RAG) & Knowledge Systems: Practical knowledge of deploying RAG architectures and integrating structured and unstructured knowledge sources into AI solutions.
- Performance & Security: Knowledge of system‑level optimisation and security best practices for scalable AI systems.
- Business Acumen: Ability to translate business requirements into technical solutions and communicate technical value to diverse stakeholders, including executive audiences.
- Flexibility: Willingness to travel and work on customer premises as required.
- Education: Degree‑level qualification in Computer Science, Informatics, Data Science, Engineering, or a closely related discipline – or equivalent professional experience.

Diversity and Inclusion

The “Kyn” in Kyndryl represents kinship, embodying the strong bonds we share with each other, our customers, and our communities. We welcome people of all cultures, backgrounds, and experiences and are committed to belonging for every Kyndryl. We encourage all qualified individuals to apply, regardless of whether they meet every listed requirement.

Benefits and Culture

At Kyndryl, employee well‑being is paramount. Our Be Well programs support your financial, mental, physical, and social health, empowering you to perform at your best. You will work in a dynamic, hybrid‑friendly environment that values continuous growth, empathy, and shared success. Professional development is a priority, with access to certifications from Microsoft, Google, and Amazon, coaching, and hands‑on experiences. You will have tools to chart your career path, personalized development goals, and ongoing feedback to help you thrive and evolve.

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📌 Lead Agentic & AI Architect (FDE) (Madrid)
🏢 Kyndryl
📍 Madrid

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