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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. As a Forward Deployed Engineer (FDE), you own end-to-end delivery of complex AI engagements, turning business challenges into technical solutions and acting as a trusted technical partner to customers. You work with significant autonomy, using AI-assisted development tools across the full delivery lifecycle.

Key responsibilities

  • Partner with customers to turn their business challenges 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 deploy solutions that drive adoption and business results
  • 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

Required skills

  • Python, or another modern language such as C#, Node.js or TypeScript; AI/ML frameworks such as TensorFlow or PyTorch are 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 optimisation and security best practices

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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