Public Cloud Solutions Architect
Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
The Role
The Opportunity
Every large enterprise is sitting on decades of business-critical applications and a rare chance to reinvent them with agentic AI. As a Modernization Architect at Kyndryl, you'll be the person who turns that chance 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. Then you'll stay with it, guiding delivery teams and advising senior executives, until the promised outcomes are delivered. Your work will span everything from focused engineering pilots to large-scale agentic factories.
This is a hands-on, client-facing leadership role in Kyndryl's Global Modernization Center of Excellence. It's 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.
Why You'll Love This Role
- Build things that work.
Create production-ready agentic AI demos, pilots, and reference implementations, not slideware. •
Start ahead.
Get a seat at the table.
Own the outcome.
Work with the best.
Keep growing.
What You'll Do
Discover and shape the opportunity
- 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.
Architect and build
- 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.
Scope, estimate, and win
- 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.
Deliver and grow
- 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.
What Success Looks Like
- Clients see you as a trusted advisor who brings clarity to complex modernization decisions.
- Your pilots and MVPs move from demo to production and show measurable business value.
- Your estimates and SOWs hold up in delivery, and delivery teams value the clarity you provide.
- You become a go-to voice in the COE, sharing patterns and reusable assets that make the next engagement faster.
Choose Your Path: Areas of Specialization
You'll bring deep expertise in at least one of these areas, along with an application-led perspective across the others.
- Apps on Public Cloud (AWS, GCP, or Microsoft Azure):
Design and deliver application modernization and agentic AI solutions on a leading hyperscaler. •
Edge & Software-Defined Networks
Mainframe Modernization
Cloud Platform Engineering
Private Cloud
Modernize applications and workloads for private-cloud and data-center environments.
Kyndryl currently does not require employees to be fully vaccinated against COVID-19, however, if you are hired to work at a client, customer, or partner location, you may be required to show proof of vaccination to align with their respective COVID-19 vaccination policies. Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment.
Who You Are
What You'll Do
Discover and shape the opportunity
- 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.
Architect and build
- 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.
Scope, estimate, and win
- 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.
Deliver and grow
- 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.
What Success Looks Like
- Clients see you as a trusted advisor who brings clarity to complex modernization decisions.
- Your pilots and MVPs move from demo to production and show measurable business value.
- Your estimates and SOWs hold up in delivery, and delivery teams value the clarity you provide.
- You become a go-to voice in the COE, sharing patterns and reusable assets that make the next engagement faster.
Choose Your Path: Areas of Specialization
You'll bring deep expertise in at least one of these areas, along with an application-led perspective across the others.
- Apps on Public Cloud (AWS, GCP, or Microsoft Azure):
Design and deliver application modernization and agentic AI solutions on a leading hyperscaler. •
Edge & Software-Defined Networks
Mainframe Modernization
Cloud Platform Engineering
Private Cloud
What You Bring
Core qualifications
- 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 above.
- 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.
Depth in your specialization
Show us depth in the area you're choosing. Certifications are valued, and if you don't hold one yet, we'll support you in earning it.
- Apps on Public Cloud:
Design and implement cloud-native and AI-native applications on AWS, GCP, or Azure. Helpful certifications: AWS Certified Solutions Architect - Professional, Google Cloud Professional Cloud Architect, or Azure Solutions Architect Expert. •
Edge & Software-Defined Networks
Mainframe Modernization
Cloud Platform Engineering
Private Cloud
Nice to have
- 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.
Who you are
Not included in the source posting: benefits.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
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