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Senior Solutions Architect (FDE) - AI

kyndryl · Madrid

New
Senior 🇬🇧 English
Python C# Node.js TypeScript TensorFlow PyTorch Git GitHub Pandas Spark AWS Azure Google AI Hugging Face LangGraph Semantic Kernel AutoGen CrewAI RAG

Job description

About the role

Kyndryl runs and reimagines mission-critical technology systems for leading businesses, and is hiring a Senior Solutions Architect (Forward Deployed Engineer, FDE) in Madrid. As an FDE you own end-to-end delivery of complex AI engagements, turn business challenges into technical solutions, lead solution design and deployment, and act as a trusted technical partner to customers. You work with significant autonomy and use AI-assisted development tools across the full delivery lifecycle.

Key responsibilities

  • Partner with customers to understand their business challenges and turn them into high-quality, fit-for-purpose technical solutions
  • Build and iterate custom AI solutions using agentic AI frameworks
  • Own delivery from scoping to production, working with the customer team to engineer and deploy production-ready solutions
  • Troubleshoot and improve system performance, scalability and reliability
  • Capture deployment learnings, document best practices and share insights to improve Kyndryl's core platforms
  • Contribute to the evolution of Kyndryl's AI platforms through feedback, code contributions and collaboration with product teams

Required profile

  • Degree in Computer Science, Informatics, Data Science, Engineering or a closely related field, or equivalent professional experience
  • Ability to translate business requirements into technical solutions and explain technical value to stakeholders, including executives
  • Willingness to travel and work on customer premises as required

Required skills

  • Proficiency in Python, or another modern language such as C#, Node.js or TypeScript; experience with TensorFlow or PyTorch is a plus
  • Software delivery lifecycle, Git and GitHub, and data engineering tools such as Pandas and Spark
  • Cloud AI platforms (AWS, Azure, Google AI) and distributed computing architectures
  • Preferred: open-source AI tools such as Hugging Face, multi-agent systems (LangGraph, Semantic Kernel, AutoGen, CrewAI), RAG architectures, and system-level optimisation and security

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Source : ats:workday

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Published 56 minutes ago

Expires 1 month from now

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kyndryl

Madrid