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Kyndryl

AI Architect

Kyndryl

Agentic AI Architect defining scalable AI solutions architecture at Kyndryl. Focus on AI agent frameworks and governance across business units.

Posted 7/12/2026full-timeBangalore • 🇮🇳 IndiaSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in defining and implementing scalable AI solutions, focusing on architecture, governance, and integration strategies. Proven ability to lead technical design sessions and mentor teams while aligning with enterprise standards.

Highest-signal resume keywords
AI/ML ArchitectureGenerative AI SolutionsCloud-Native ArchitecturesEnterprise Integration PatternsStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringAI Solution ArchitectureIntegration StrategyScalable Multi-Agent DesignArchitectural StandardsModular AI FrameworksEnterprise-Scale AI SolutionsTechnical Design SessionsGovernance Best PracticesCloud Architecture
Soft Skills
Excellent CommunicationLeadership SkillsMentoringStakeholder Management
Certifications & Qualifications
Bachelor's Degree in Computer ScienceBachelor's Degree in EngineeringBachelor's Degree in Information Technology
Industry Keywords
AI TransformationEnterprise StandardsProduction ReadinessTechnical DesignArchitecture Reviews

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Defines Agentic AI solution architecture, platform patterns, integration strategy, governance, security controls, and scalable multi-agent design
  • Ensures alignment with enterprise standards and production readiness
  • Design scalable, modular, and reusable AI agent frameworks
  • Establish architectural standards, governance, and best practices for AI solutions
  • Lead architecture reviews and technical design sessions
  • Mentor architects, AI engineers, and development teams
  • Partner with business leaders to identify AI transformation opportunities

Requirements

What you’ll need
  • 12–18+ years in Software Engineering, AI/ML, Cloud Architecture, or Enterprise Solution Architecture
  • 3–5 years designing and implementing Generative AI solutions
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related field
  • 12–18+ years of software engineering or architecture experience
  • 5+ years in AI/ML or Generative AI architecture
  • Experience delivering enterprise-scale AI solutions
  • Strong understanding of cloud-native architectures
  • Experience with enterprise integration patterns
  • Excellent communication, stakeholder management, and leadership skills.

Benefits

Comp & perks
  • flexible, supportive environment
  • well-being is prioritized
  • continuous flow of AI-powered insight
  • opportunities to certify in all four major platforms
  • hands-on experience
  • learning opportunities
  • access to cutting-edge learning opportunities