Agentic AI Modernization Architect (Client-Facing)

HITEC; Northern (KY); On-site; USD 180,000 - 342,000; Full time

Job summary

Kyndryl is seeking an Application Modernization Architect to bridge emerging AI capabilities with enterprise outcomes. You will design tailored solutions, lead discovery workshops, deliver demos, and produce actionable roadmaps while staying hands-on to prototype and guide modernization teams.

You will work with cross-functional teams to define MVPs, estimate projects, and structure SOWs and technical proposals. Travel up to 30% is expected as you engage with global clients.

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.

Responsibilities

• 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.
• Develop demo environments, sandbox prototypes, and reusable demo assets that showcase differentiated value.
• 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.

Skills

Solution architecture

LLM-powered AI

Client-facing

Python

Vector databases

Demos/Pre-sales

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

Job description

Kyndryl is seeking an Application Modernization Architect to bridge emerging AI capabilities with enterprise outcomes. You will design tailored solutions, lead discovery workshops, deliver demos, and produce actionable roadmaps while staying hands-on to prototype and guide modernization teams.

You will work with cross-functional teams to define MVPs, estimate projects, and structure SOWs and technical proposals. Travel up to 30% is expected as you engage with global clients.