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Kyndryl

Managed IT infrastructure and cloud services

Forward Deployed Engineer - AI

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Have 3–6 years of relevant information technology experience, including at least 1 year working with agentic artificial intelligence frameworks, orchestration, and deployment, and 2 years working on generative artificial intelligence solutions.
  • Demonstrate expertise in Python; experience with TensorFlow or PyTorch is a plus.
  • Be familiar with community-driven artificial intelligence tools and libraries, including Hugging Face and relevant repositories.
  • Have deep technical expertise in one or two domains and a broad understanding across artificial intelligence and machine learning, cloud, and consulting.
  • Have experience designing, building, or integrating multi-agent systems and orchestration frameworks, such as LangGraph, Semantic Kernel, Agent Framework, AutoGen, and CrewAI, including developing agent protocols and coordination mechanisms.
  • Have practical knowledge of deploying retrieval-augmented generation architectures and integrating structured and unstructured knowledge sources into artificial intelligence solutions.
  • Have a solid grasp of the software delivery lifecycle, version control using Git and GitHub, and data engineering tools such as Pandas and Spark.
  • Have experience with cloud artificial intelligence platforms such as AWS, Azure, or Google AI, and distributed computing architectures.
  • Have knowledge of system-level optimization and security best practices for scalable artificial intelligence systems.
  • Be able to translate business requirements into technical solutions and communicate technical value to diverse stakeholders, including executive audiences.
  • Be willing to travel and work at customer premises as required.
  • Have a degree-level qualification in Computer Science, Informatics, Data Science, Engineering, or a closely related discipline, or equivalent professional experience.

Responsibilities

  • Partner with customers to understand business challenges and translate them into high-quality, fit-for-purpose technical solutions, prioritizing the right outcome over the fastest one.
  • Build and iterate custom artificial intelligence solutions tailored to customer needs using agentic artificial intelligence frameworks.
  • Own delivery end to end, from scoping to production, working as part of the customer team to engineer and deploy production-ready solutions that drive adoption and measurable business outcomes.
  • Troubleshoot and enhance system performance, scalability, and reliability.
  • Systematically capture deployment learnings, document best practices, and share insights to inform enhancements to Kyndryl’s core platforms and frameworks.
  • Adapt to emerging technologies and evolving customer requirements through ongoing professional development.
  • Contribute to the evolution of Kyndryl’s artificial intelligence platforms through feedback, code contributions, and collaboration with product teams.

Desired Qualifications

  • Experience with observability and evaluation platforms such as LangSmith.
  • Experience working with artificial intelligence and machine learning frameworks such as TensorFlow or PyTorch.

About the Company

Kyndryl

Managed IT infrastructure and cloud services

Kyndryl provides managed IT infrastructure services for large enterprises, helping them run and modernize their technology environments. Its offerings cover cloud adoption, cybersecurity, security operations, and digital workplace services, all delivered under long-term managed-service contracts. The company works by partnering with major technology providers (including Microsoft) to offer integrated, end-to-end solutions, often complemented by a new security operations center (SOC) and other security capabilities. This focus sets it apart from competitors through scale, enterprise-grade governance, and a history rooted in IBM’s infrastructure services, now independent but aligned with large technology partners. The goal is to support digital transformation by providing reliable, scalable, and secure infrastructure management that enables enterprises to operate efficiently and securely in a cloud-enabled world.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
2021

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