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Principal Technology Architect

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Onsite

Principal Technology Architect

Infosys

Principal Technology Architect

Skills

Google Cloud PlatformDevOpsMicroservicesMachine LearningAIAWSKubernetesCloud ArchitectAzure

1 month ago

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Important information


Location:

Karnataka, India

Work mode:

Onsite

Published on:

29 September 2026

What they need


  • Experience
  • 15 years of overall technology experience
  • 5 years in Architecture or CTO Advisory roles
  • Experience leading enterprise transformation programs in Banking Financial Services Insurance Capital Markets or Payments
  • Experience driving Cloud Data AI Digital Engineering or Modernization initiatives

Key Responsibilities:

  • AI Transformation Strategy
  • Define enterprise AI transformation vision roadmap and target state architecture
  • Identify AI use cases and transformation opportunities across business and technology domains
  • Develop AI adoption frameworks governance models and operating structures
  • Drive AI first engineering practices across delivery organizations
  • Enterprise Architecture
  • Define business application data technology and security architecture blueprints
  • Develop modernization roadmaps for legacy platforms
  • Drive architecture governance and design assurance
  • Establish architecture standards reference architectures and reusable patterns
  • AI Data Platforms
  • Architect enterprise AI platforms leveraging LLMs Agentic AI RAG Knowledge Graphs and AI orchestration frameworks
  • Define AI operating models model lifecycle management and responsible AI controls
  • Design AI ready data architectures including Data Fabric Lakehouse and Knowledge Platforms
  • Drive integration of enterprise knowledge with AI ecosystems
  • Engineering Transformation
  • Drive adoption of AI assisted software engineering
  • Establish platform engineering and developer productivity initiatives
  • Lead modernization using cloud native and event driven architectures
  • Promote reliability observability resilience and security by design practices
  • Client Advisory Consulting
  • Partner with CTOs and business executives on transformation strategy
  • Conduct maturity assessments and capability gap analyses
  • Develop business cases value realization frameworks and investment roadmaps
  • Lead executive workshops and transformation steering committees
  • Innovation Thought Leadership
  • Create AI transformation assets accelerators frameworks and industry solutions
  • Mentor architects and engineering leaders
  • Represent the organization in client forums and industry events
  • Publish reusable assets and best practices

Technical Requirements:

  • AI GenAI
  • Generative AI and LLM architectures
  • Agentic AI systems
  • RAG architectures
  • AI orchestration frameworks
  • Prompt engineering and evaluation frameworks
  • AI governance and Responsible AI
  • Enterprise Architecture
  • TOGAF or equivalent Enterprise Architecture framework
  • Business and Technology Architecture
  • Solution Architecture
  • Architecture governance
  • Technology strategy and roadmapping
  • Cloud Engineering
  • Azure AWS GCP
  • Kubernetes and Container ecosystems
  • DevSecOps and Platform Engineering
  • API Event Driven and Microservices Architecture
  • Infrastructure as Code
  • Reliability Operations
  • SRE
  • Observability Platforms
  • Resilience Engineering
  • Performance Engineering
  • Operational Excellence

Additional Responsibilities:

  • Preferred Skills
  • Banking Payments domain expertise
  • Digital Channels and Customer Platforms
  • Core Banking modernization
  • FinOps
  • Quantum of Experience in AI enabled SDLC transformation
  • Product Operating Model experience
  • Certifications Preferred
  • TOGAF
  • Azure Solutions Architect Expert
  • Azure AI Engineer Associate
  • AWS Solutions Architect Professional
  • Cloud Architect Certifications
  • AI ML Certifications
  • SRE Foundation
  • Kubernetes Certifications
  • Anthropic Certifications
  • Success Metrics
  • The candidate will be measured on
  • AI transformation deals influenced and won
  • AI use cases industrialized
  • Reusable AI assets and accelerators created
  • Client stakeholder satisfaction
  • Architecture governance effectiveness
  • Productivity gains through AI adoption
  • Talent development and architect mentoring
  • Revenue growth from transformation programs

Preferred Skills:

Technology->AI-AI Engineering->AI/ML Solution Architecture and Design->traditional ai ml,Technology->Architecture->Architecture - ALL,Technology->Cloud Platform->Amazon Webservices Architecture->AWS Architecture

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