Solution Architect

Kyndryl; Madrid; Presencial; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

Kyndryl in Madrid is looking for a Solution Architect with expertise in agentic AI systems. This role involves leading client engagements, translating business needs into solutions, and guiding AI adoption decisions.

The ideal candidate will have 8-10 years of experience and be fluent in both Spanish and English, along with proficiency in Python and experience with agentic AI frameworks. The position offers the opportunity to be a trusted advisor to senior stakeholders and collaborate across various teams.

Formación

• 8–10+ 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.

Responsabilidades

• Lead client discovery sessions and AI readiness assessments.
• Translate ambiguous business requirements into structured technical architectures.
• Act as a trusted advisor to senior client stakeholders.

Conocimientos

Fluency in Spanish and English

Client-facing advisory experience

Expertise in agentic AI frameworks

Proficiency in Python

Herramientas

Vector databases

TypeScript/Node.js

Descripción del empleo

Role Overview

We are seeking a hands‑on Solution Architect with deep expertise in agentic AI systems to join our global Application Modernization group. The role is client‑facing, bridging emerging AI capabilities with real‑world enterprise outcomes by designing tailored solutions, leading discovery workshops, delivering compelling demos, and producing actionable project estimates and roadmaps. You will serve as a trusted technical advisor to senior stakeholders while remaining hands‑on in prototyping, building proof‑of‑concepts, and guiding modernization teams.

Key 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 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, consulting, and legal teams to structure technically sound, deliverable engagements.
• Own technical due diligence for new opportunities and validate feasibility of proposed solutions.

Required Qualifications

• Fluency in Spanish and English. Additional languages are a plus.
• 8–10+ 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 is 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.

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.

Equal Opportunity

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, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.