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Kyndryl

Managed IT infrastructure and cloud services

Cloud Solutions Architect

Pre-Sales Solution EngineeringUpdated on Nov 13
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor's degree in computer science, engineering, or a comparable discipline, or equivalent practical experience.
  • At least eight years of hands-on experience in solution architecture, software engineering, or technical consulting focused on application architecture and modernization.
  • Deep expertise in at least one specialization area: apps on public cloud, edge and software-defined networks, mainframe modernization, cloud platform engineering, or private cloud.
  • At least two years of hands-on experience delivering production-grade agentic AI applications.
  • Advanced expertise with open-source agentic frameworks such as LangChain/LangGraph, AutoGen, CrewAI, or Semantic Kernel, or equivalent.
  • Deep Python proficiency; TypeScript/Node.js experience is a plus.
  • Experience integrating AI agents with enterprise systems, including CRMs, ERPs, APIs, and data lakes.
  • Experience with vector databases, embedding pipelines, and practical RAG architectures.
  • Client-facing advisory, pre-sales, live-demo, and technical storytelling skills for engineering and executive audiences.
  • Working knowledge of responsible AI, data privacy requirements, and enterprise security standards, applied across pursuit and delivery.
  • For Apps on Public Cloud: ability to design and implement cloud-native and AI-native applications on AWS, GCP, or Azure.
  • For Edge and Software-Defined Networks: ability to design agentic AI-enabled network modernization using SDN, SD-WAN, SASE, zero-trust, and automation patterns; expertise in Palo Alto, Zscaler, Illumio, or Guardicore; and DevNetOps and DevSecOps skills.
  • For Mainframe Modernization: ability to design modernization approaches for IBM Z and z/OS workloads, including migration, integration, API enablement, and adoption of modern application platforms.
  • For Cloud Platform Engineering: ability to design internal developer platforms and standardized golden paths that accelerate secure application delivery.
  • For Private Cloud: ability to design application and workload modernization for private-cloud and data-center environments using containers, Kubernetes, APIs, automation, and cloud-native operating models.
  • Willingness to travel globally at least 25% of the time to meet clients, lead workshops, and work alongside delivery teams.

Responsibilities

  • Lead client discovery and AI readiness assessments to identify high-value application modernization and agentic AI use cases.
  • Translate ambiguous business needs into technical architectures and implementation roadmaps.
  • Facilitate workshops, design sessions, and architecture reviews to align business and technical stakeholders.
  • Advise senior client leaders on modernization and agentic AI adoption, developing solution narratives for executive and technical audiences.
  • Design target-state cloud-native and AI-native architectures using microservices, APIs, containers, and cloud-native patterns to modernize legacy and monolithic applications.
  • Define modernization solutions across application, infrastructure, agentic SDLC, and platform engineering expertise for public and private cloud.
  • Build agentic proofs of concept, pilots, MVPs, and reference implementations that demonstrate measurable business value.
  • Own technical solution definition, including scope, proof-of-concept framing, assumptions, dependencies, and baselines.
  • Prepare effort, cost, risk, timeline, and team-composition estimates using Kyndryl’s solution calculator and related tools.
  • Develop SOWs, RFP responses, and technical proposal content, and contribute to commercial inputs.
  • Lead technical due diligence and confirm proposed solutions are feasible and deliverable.
  • Partner with sales, consulting, legal, delivery, engineering, and COE teams to structure sound, deliverable engagements.
  • Provide technical leadership from pursuit through implementation to protect solution fidelity and client success.
  • Engage Cloud, Mainframe, Network & Edge, and other specialists when a solution spans multiple domains.
  • Keep current with advances in AI, application, and cloud technologies through continuous learning and certification.
  • Share patterns and reusable assets within the COE to accelerate future engagements.

Desired Qualifications

  • Experience in engineering consulting or professional services.
  • Experience contributing to large-scale modernization or transformation programs.
  • Experience in both consultative solutioning and delivery settings.
  • Industry experience in Financial Services, Healthcare, Telecommunications, Manufacturing, or the Public Sector.
  • Familiarity with enterprise AI governance and AI risk-management frameworks.
  • Certifications are valued; helpful credentials include AWS Certified Solutions Architect – Professional, Google Cloud Professional Cloud Architect, Azure Solutions Architect Expert, CCNP Enterprise, AWS Certified Advanced Networking – Specialty, Azure Network Engineer Associate (AZ-700), Google Cloud Professional Cloud Network Engineer, IBM Z Xplore or IBM Z Skills badges covering z/OS and IBM Z Software, IBM or Broadcom Mainframe Modernization or zCloud Program certification, Certified Kubernetes Administrator (CKA), Azure DevOps Engineer Expert (AZ-400), AWS Certified DevOps Engineer – Professional, and FinOps Certified Practitioner.

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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