Public Cloud Solutions Architect

Kyndryl

9d • $143,640 - $327,600

About The Position

Kyndryl is hiring a hands-on, client-facing architect for its Global Modernization Center of Excellence. The role turns enterprise application modernization and agentic AI opportunities into clear architectures, roadmaps, working demos, pilots, and MVPs, then guides delivery through implementation and measurable business outcomes. The architect advises senior client stakeholders, works across sales, consulting, legal, delivery, engineering, and specialist teams, and contributes to engagements from discovery and solution definition through proposals and delivery.

The position requires deep expertise in at least one of five specialization areas: applications on public cloud, edge and software-defined networks, mainframe modernization, cloud platform engineering, or private cloud. The work includes designing cloud-native and AI-native architectures, building production-grade agentic AI solutions, and producing estimates and SOWs. Global travel of at least 25% is expected. The role is U.S.-based for compensation purposes; the posting does not specify a particular work location or workplace arrangement.

Requirements

• Bachelor’s degree in computer science, engineering, or a comparable discipline, or equivalent practical experience.
• At least 8 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 of the five specialization areas: apps on public cloud, edge and software-defined networks, mainframe modernization, cloud platform engineering, or private cloud.
• At least 2 years of hands-on experience delivering production-grade agentic AI applications.
• Advanced expertise with an open-source agentic framework such as LangChain/LangGraph, AutoGen, CrewAI, Semantic Kernel, or equivalent.
• Deep proficiency in Python.
• Experience integrating AI agents with enterprise systems, including CRMs, ERPs, APIs, and data lakes.
• Experience with vector databases, embedding pipelines, and practical RAG architectures.
• Strong client-facing advisory, presales, 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 the public-cloud specialization: ability to design and implement cloud-native and AI-native applications on AWS, GCP, or Azure.
• For the edge and software-defined networks specialization: expertise in SDN, SD-WAN, SASE, zero-trust, and automation patterns; expertise with Palo Alto, Zscaler, Illumio, or Guardicore; and strong DevNetOps and DevSecOps skills.
• For the mainframe modernization specialization: ability to design modernization approaches for IBM Z and z/OS workloads, including migration, integration, API enablement, and adoption of modern application platforms.
• For the cloud platform engineering specialization: ability to design internal developer platforms and standardized golden paths that accelerate secure application delivery.
• For the private-cloud specialization: ability to design application and workload modernization for private-cloud and data-center environments using containers, Kubernetes, APIs, automation, and cloud-native operating models.
• A growth mindset, commitment to personal development, customer-success focus, and ability to work openly, collaboratively, and inclusively.

Nice To Haves

• Background 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.
• TypeScript/Node.js experience.
• Relevant certifications for the chosen specialization. Examples 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 credentials, Certified Kubernetes Administrator (CKA), Azure DevOps Engineer Expert (AZ-400), AWS Certified DevOps Engineer – Professional, and FinOps Certified Practitioner.

Responsibilities

• Lead client discovery and AI readiness assessments to identify valuable application modernization and agentic AI use cases.
• Translate ambiguous business needs into technical architectures and implementation roadmaps.
• Facilitate workshops, design sessions, and architecture reviews for business and technical stakeholders.
• Advise senior client leaders on modernization and agentic AI adoption, communicating to 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 spanning applications, infrastructure, agentic SDLC, and platform engineering across public and private cloud.
• Build agentic proofs of concept, pilots, MVPs, and reference implementations that demonstrate business value.
• Own technical solution definition, including scope, proof-of-concept framing, assumptions, dependencies, and baselines.
• Prepare estimates for effort, cost, risk, timeline, and team composition 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 validate that proposed solutions are feasible and deliverable.
• Partner with sales, consulting, legal, delivery, engineering, and Center of Excellence teams to structure deliverable engagements.
• Provide technical leadership from pursuit through implementation to maintain solution fidelity and support client success.
• Engage cloud, mainframe, network and edge, and other specialists when solutions span multiple domains.
• Maintain knowledge of AI, application, and cloud technologies through continuous learning and certification.
• Travel globally at least 25% to meet clients, lead workshops, and work alongside delivery teams.
• Share patterns and reusable assets within the Center of Excellence.

Benefits

• Medical coverage
• Dental coverage
• Disability benefits
• Retirement benefits
• Paid leave
• Paid time off
• Discretionary annual bonus program, subject to applicable plan terms; sales-commission-eligible roles participate in a commission plan instead
• Employee learning programs and access to certification opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Senior