Client-Facing Agentic AI Modernization Architect

Kyndryl; United States; On-site; USD 180,000 - 342,000; Full time

Job summary

Kyndryl is seeking a hands-on Application Modernization Architect with deep expertise in agentic AI systems. In a client-facing role you will bridge emerging AI capabilities with real-world enterprise outcomes, designing tailored solutions and leading workshops to deliver actionable roadmaps.

You will prototype, build proof-of-concepts, and guide modernization teams, working with senior stakeholders while maintaining hands-on technical delivery.

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 client contexts and verticals using KAF.
• Design and present 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.
• Develop Statements of Work (SOWs), RFP responses, and technical proposal sections.
• Define MVP scopes and phased delivery plans aligned to client budget and priorities.
• Collaborate with sales, consult, and legal teams to structure deliverable engagements.
• Own technical due diligence for new opportunities and validate feasibility of proposed solutions.

Skills

8+ years experience in solution arch/

2+ years LLM/agentic AI production

Client-facing advisory/pre-sales

Python

Vector databases

Estimate complex Agentic AI projects

Excellent communication

Live technical demos

Responsible AI & privacy

Travel 30%

Tools

LangChain/LangGraph

AutoGen

CrewAI

Semantic Kernel

Job description

Kyndryl is seeking a hands-on Application Modernization Architect with deep expertise in agentic AI systems. In a client-facing role you will bridge emerging AI capabilities with real-world enterprise outcomes, designing tailored solutions and leading workshops to deliver actionable roadmaps.

You will prototype, build proof-of-concepts, and guide modernization teams, working with senior stakeholders while maintaining hands-on technical delivery.