Application Modernization Architect
Who We Are
The Role
Application Modernization Architect
client-facing role
Client Discovery
- Lead client discovery sessions and AI readiness assessments to surface high-impact use cases
- Translate ambiguous business requirements into structured technical architectures and implementation roadmaps
- Act as a trusted advisor to senior client stakeholders, guiding strategic Agentic AI adoption decisions
- Facilitate workshops, design sessions, and architecture reviews with cross-functional teams
- Develop and maintain reusable solution frameworks, playbooks, and reference architectures
Agentic AI Architecture & Delivery
- Build and maintain proof-of-concepts and reference implementations that demonstrate business value
- Define integration patterns for connecting AI agents to enterprise systems (CRMs, ERPs, APIs, data lakes)
Demos & Presentations
- Create and deliver live, interactive demos of agentic AI capabilities tailored to specific client contexts and verticals using the Kyndryl Agentic Framework (KAF)
- Design and present compelling solution narratives - from executive briefings to technical deep-dives
- Develop demo environments, sandbox prototypes, and reusable demo assets that showcase differentiated value
Estimation & Pre-Sales
- Produce detailed project estimates covering effort, cost, risk, timeline, and team composition leveraging Kyndryl's solution calculator and other Kyndryl tools
- Develop Statements of Work (SOWs), Requests for Proposal (RFP) responses, and technical proposal sections
- Define MVP scopes and phased delivery plans aligned to client budget and business priorities
- Collaborate with sales, consult, and legal teams to structure technically sound, deliverable engagements
- Own technical due diligence for new opportunities and validate feasibility of proposed solutions
Your Future at Kyndryl
Why Kyndryl
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
You're good at what you do and possess the required experience to provide it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in your work. And finally, you're open and borderless - naturally inclusive in how you work with others.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Required Qualifications
- 8+ years of experience in solution architecture, software engineering, or technical consulting
- 2+ years hands-on experience building LLM-powered or agentic AI applications in production
- Proven track record in a client-facing advisory or pre-sales architecture role
- Deep expertise with at least one agentic framework: LangChain/LangGraph, AutoGen, CrewAI, Semantic Kernel, or equivalent
- Strong proficiency in Python; comfort with TypeScript/Node.js a plus
- Experience with vector databases (Pinecone, Weaviate, pgvector, Chroma) and embedding pipelines
- Demonstrated ability to scope and estimate complex Agentic AI projects from discovery inputs
- Exceptional written and verbal communication - equally effective with engineers and executives
- Experience delivering live technical demos to client audiences of varying technical depth
- Familiarity with responsible AI principles, data privacy regulations (GDPR, CCPA), and enterprise security requirements
- Ability to travel 30% of the time
Preferred Qualifications
- Experience in a management consulting or professional services firm
- Background in one or more verticals: Financial Services, Healthcare, Retail/CPG, Telecommunications, Manufacturing, or the Public Sector
- Certifications: AWS/Azure/GCP Solutions Architect, Google PDE, or equivalent
- Exposure to enterprise AI governance frameworks and AI risk management
The compensation range for the position in the U.S. is - $179,760 to $341,520 based on a full-time schedule. Your actual compensation may vary depending on your geography, job-related skills and experience. For part time roles, the compensation will be adjusted appropriately. The pay or salary range will not be below any applicable state, city or local minimum wage requirement.
There is a different applicable compensation range for the following work locations: 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
This position will be eligible for Kyndryl's discretionary annual bonus program, based on performance and subject to the terms of Kyndryl's applicable plans. You may also receive a comprehensive benefits package which includes medical and dental coverage, disability, retirement benefits, paid leave and paid time off. Note: if this is a sales commission eligible role, you will be eligible to participate in a sales commission plan in lieu of the annual discretionary bonus program. Applications will be accepted on a rolling basis.
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.
Being You
What You Can Expect
Get Referred!
Not included in the source posting: qualifications, 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.
Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.