Principal Technology Architect

Infosys; Bengaluru; On-site; INR 2,500,000 - 5,200,000; Full time

Job summary

Infosys in Bengaluru seeks a senior leader to drive AI transformation across enterprise architecture, data platforms, and cloud engineering. You will shape the strategy, roadmaps, and governance for large-scale modernization programs in financial services and related domains.

Ideal candidates bring 15+ years in technology with CTO advisory experience, plus a strong track record in AI-first delivery, architecture governance, and stakeholder alignment at the enterprise level.

Qualifications

• 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Skills

Strategic leadership

CTO advisory

Enterprise transformation

AI strategy

Digital engineering

Cloud transformation

Governance

Architecture vision

Stakeholder management

Education

MSc/MTech

BE/B.Tech

BSc

Tools

Azure

AWS

GCP

Kubernetes

DevSecOps

Platform Engineering

API Architecture

Job description

Job Description 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

Roles 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 Requirement

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

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

• 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

Educational Requirement

MSc,MTech,Bachelor of Engineering,BE,BSc,BTech

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

Service Line: Application Development and Maintenance