Kyndryl
FDE
“FDE at Kyndryl. Skills: AI deployment, Agentic AI, Customer engagement, Solution delivery. Partner with customers to understand business challenges. Translate challenges into technical solutions”
What You'll Achieve.
Deliver outcomes that matter; Drive transformative results; Drive measurable business value; Drive adoption; Achieve measurable business outcomes
Industry & Context.
Solve complex challenges; Troubleshoot; Enhance system performance
Work on customer premises, Willingness to travel
What They're Looking For.
Must Have
Degree-level qualification in Computer Science, Informatics, Data Science, Engineering, or a closely related discipline - or equivalent professional experience, Expertise in Python, (or another modern language such as C#, Node. js or TypeScript), Familiarity with community-driven AI tools and libraries, including Hugging Face and relevant repositories, Deep technical expertise in one or two domains, with broad understanding across AI/ML, cloud, and consulting, Experience designing, building, or integrating multi-agent systems and orchestration frameworks, Practical knowledge of deploying RAG architectures and integrating structured and unstructured knowledge sources into AI solutions, Solid grasp of the software delivery lifecycle, version control (Git & GitHub), and data engineering tools such as Pandas and Spark, Experience with cloud AI platforms (AWS, Azure, Google AI) and distributed computing architectures, Knowledge of system-level optimisation and security best practices for scalable AI systems, Ability to translate business requirements into technical solutions and communicate technical value to diverse stakeholders, including executive audiences, Willingness to travel and work on customer premises as required
Nice to Have
Experience working with AI/ML frameworks like TensorFlow or PyTorch is a plus
What You'll Do.
Partner with customers to understand business challenges
Translate challenges into technical solutions
Build and iterate custom AI solutions
Leverage agentic AI frameworks
Own delivery end to end
Engineer and deploy production-ready solutions
Drive adoption and measurable business outcomes
Troubleshoot and enhance system performance
Improve scalability and reliability
Capture deployment learnings
Document best practices
Share insights to inform enhancements
Adapt quickly to emerging technologies
Engage in ongoing professional development
Contribute to the evolution of AI platforms
Provide feedback to product teams
Collaborate with product teams
How You'll Work.
Team & Collaboration
Customer teams; Global AI ecosystem; Engineering, consulting, product expertise; Product teams
Communication Scope
Communicate technical value
Process & Methodology
Scoping
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