Application Modernization Architect

Kyndryl

Application Modernization Architect at Kyndryl bridging AI capabilities and enterprise outcomes. Leading client projects and creating innovative solutions in agentic AI systems.

Posted 7/9/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $143,640 - $273,000 per yearWebsite

Tech Stack

Tools & technologies

JavaScriptNode.jsPythonTypeScript

About the role

Key responsibilities & impact

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
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)
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
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

Requirements

What you’ll need

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

Benefits

Comp & perks

medical and dental coverage
disability
retirement benefits
paid leave
paid time off

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Solution ArchitectureAgentic AI Application DevelopmentPythonTypeScriptLLM-Powered ApplicationsProject EstimationTechnical Proposal DevelopmentIntegration PatternsEmbedding PipelinesVector Databases

Soft Skills

Exceptional CommunicationClient EngagementWorkshop FacilitationStrategic Advisory