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About the Role
As a Modernization Architect at Kyndryl, you’ll turn the chance to reinvent decades of business-critical applications with agentic AI into reality. You’ll step into a client’s toughest modernization challenge, turn ambiguity into a clear architecture and roadmap, and build the working demo, pilot, or MVP that proves the value. You’ll guide delivery teams and advise senior executives until promised outcomes are delivered, working on everything from engineering pilots to large-scale agentic factories. This is a hands-on, client-facing leadership role in Kyndryl’s Global Modernization Center of Excellence, built for architects who like to build, enjoy being in the room with decision-makers, and want their work to show up in real business results.
Responsibilities
- Lead client discovery and AI readiness assessments to uncover high-value application modernization and agentic AI use cases.
- Turn ambiguous business needs into clear technical architectures and implementation roadmaps.
- Facilitate workshops, design sessions, and architecture reviews that align business and technical stakeholders.
- Advise senior client leaders on modernization and agentic AI adoption, with solution narratives that resonate with both 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 that combine application, infrastructure, agentic SDLC, and platform engineering expertise across 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, PoC 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 confirm that 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.
- Stay ahead of advances in AI, application, and cloud technologies through continuous learning and certification.
Requirements
- 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 of the five specialization areas (Apps on Public Cloud, Edge & Software-Defined Networks, Mainframe Modernization, Cloud Platform Engineering, Private Cloud).
- At least two years of hands-on experience delivering production-grade agentic AI applications.
- Advanced expertise with leading open-source agentic frameworks such as LangChain/LangGraph, AutoGen, CrewAI, 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.
- Strong 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.
- 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.
- You bring a growth mindset and a commitment to your own development.
- You put customer success first, and you work openly, collaboratively, and inclusively with sales, delivery, engineering, and COE teams.
Skills
- Agentic AI
- Application Modernization
- Technical Architecture
- Implementation Roadmaps
- Cloud-Native Architectures
- AI-Native Architectures
- Microservices
- APIs
- Containers
- Cloud-Native Patterns
- Infrastructure Modernization
- Agentic SDLC
- Platform Engineering
- Public Cloud
- Private Cloud
- Proofs of Concept (PoCs)
- Pilots
- Minimum Viable Products (MVPs)
- Reference Implementations
- Solution Scoping
- Estimation
- SOW Development
- RFP Response
- Technical Proposal Content
- Technical Due Diligence
- Sales Collaboration
- Consulting Collaboration
- Legal Collaboration
- Delivery Collaboration
- Engineering Collaboration
- COE Collaboration
- Cloud Specialists
- Mainframe Specialists
- Network & Edge Specialists
- Continuous Learning
- Certification
- AWS
- GCP
- Microsoft Azure
- Edge Computing
- Software-Defined Networks (SDN)
- SD-WAN
- SASE
- Zero-Trust Patterns
- Mainframe Modernization
- IBM Z
- z/OS
- Cloud Platform Engineering
- CI/CD
- DevOps
- DevSecOps
- LangChain/LangGraph
- AutoGen
- CrewAI
- Semantic Kernel
- Python
- TypeScript
- Node.js
- Enterprise System Integration
- CRMs
- ERPs
- Data Lakes
- Vector Databases
- Embedding Pipelines
- Retrieval-Augmented Generation (RAG)
- Responsible AI
- Data Privacy
- Enterprise Security Standards
- Palo Alto
- Zscaler
- Illumio
- Guardicore
- DevNetOps
- DevSecOps
- IBM Z Xplore
- IBM Z Skills
- Certified Kubernetes Administrator (CKA)
- Azure DevOps Engineer Expert (AZ-400)
- AWS Certified DevOps Engineer – Professional
- FinOps Certified Practitioner
- Kubernetes
- Automation
- Cloud-Native Operating Models
- Financial Services Industry
- Healthcare Industry
- Telecommunications Industry
- Manufacturing Industry
- Public Sector Industry
- AI Governance
- AI Risk Management
Location
- Global
Work Type
- Full-time
- Hybrid
Experience Level
- 8+ years of hands-on experience in solution architecture, software engineering, or technical consulting
- 2+ years of hands-on experience delivering production-grade agentic AI applications
Education Level
- Bachelor’s degree in computer science, engineering, or a comparable discipline (or equivalent practical experience)
Salary/Compensations
- U.S. Range: $179,760 to $341,520
- California (San Francisco Bay Area): $215,640 to $409,800
- California (All Other): $197,640 to $375,600
- Colorado: $179,760 to $341,520
- Massachusetts $179,760 to $375,600
- New York City: $215,640 to $409,800
- Washington: $197,640 to $375,600
- Washington DC: $197,640 to $375,600
Benefits
- Discretionary annual bonus program
- Comprehensive benefits package including medical and dental coverage
- Disability benefits
- Retirement benefits
- Paid leave
- Paid time off
- Ongoing learning and certification
- Employee learning programs with access to certifications from Microsoft, Google, Amazon, Skillsoft, and more
- Company-wide volunteering and giving platform
- Support for medical or religious accommodation for COVID-19 vaccination policies
About the Company
- Kyndryl designs, builds, manages and modernizes mission-critical technology systems.
- Kyndryl is redefining modernization through AI-led transformation, agentic platforms, and repeatable engineering patterns.
- Kyndryl is committed to a diverse workplace and is proud to be an equal opportunity employer.
- Kyndryl cares about your well-being and offers benefits that give you choice, reflect the diversity of our employees and support you and your family.
- Kyndryl invests heavily in employees to ensure their success.
Equal Opportunity
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
- We also comply with all fair employment practices related to citizenship and immigration status.
- Kyndryl is committed to a diverse workplace and is proud to be an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
- Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences.
- Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice.
- This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way.