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Kyndryl

Managed IT infrastructure and cloud services

Modernization Application Architect

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeSão Paulo, State of São Paulo, BrazilNo salary listed

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 artificial intelligence applications.
  • Advanced expertise with leading open-source agentic frameworks such as LangChain/LangGraph, AutoGen, CrewAI, Semantic Kernel, or equivalent.
  • Deep proficiency in Python; TypeScript/Node.js experience is a plus.
  • Experience integrating artificial intelligence agents with enterprise systems, including customer relationship management systems, enterprise resource planning systems, application programming interfaces, and data lakes.
  • Experience with vector databases, embedding pipelines, and practical retrieval-augmented generation architectures.
  • Client-facing advisory, pre-sales, live-demo, and technical storytelling skills for engineering and executive audiences.
  • Working knowledge of responsible artificial intelligence, data privacy requirements, and enterprise security standards, applied across pursuit and delivery.
  • For apps on public cloud specialization: design and implement cloud-native and AI-native applications on AWS, Google Cloud Platform, or Azure.
  • For edge and software-defined networks specialization: design agentic AI-enabled network modernization using software-defined networking, software-defined wide area networking, secure access service edge, zero-trust, and automation patterns; expertise in Palo Alto, Zscaler, Illumio, or Guardicore; and DevNetOps and DevSecOps skills.
  • For mainframe modernization specialization: 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 specialization: design internal developer platforms and standardized golden paths that accelerate secure application delivery.
  • For private cloud specialization: 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 and commitment to personal development, with a focus on customer success and collaborative, inclusive work.

Responsibilities

  • Lead client discovery and artificial intelligence readiness assessments to uncover high-value application modernization and agentic AI use cases.
  • Translate ambiguous business needs into clear 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 combining application, infrastructure, agentic software development lifecycle, and platform engineering expertise across public and private cloud.
  • Build agentic proofs of concept, pilots, minimum viable products, and reference implementations that demonstrate measurable 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 statements of work, requests for proposal 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 Center of Excellence teams to structure sound, deliverable engagements.
  • Provide technical leadership from pursuit through implementation to protect solution fidelity and client success.
  • Engage cloud, mainframe, network and edge, and other specialists when a solution spans multiple domains.
  • Stay current with advances in artificial intelligence, application, and cloud technologies through continuous learning and certification.
  • Travel globally at least 25% of the time to meet clients, lead workshops, and work alongside delivery teams.

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 artificial intelligence governance and AI risk-management frameworks.
  • Certifications in the chosen specialization are valued; examples include AWS, Google Cloud, or Azure architecture certifications; networking certifications such as CCNP Enterprise or cloud networking certifications; IBM Z or mainframe modernization certifications; Kubernetes, Azure DevOps, AWS DevOps, or FinOps certifications; or comparable private-cloud platform credentials.

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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