Principal Technology Architect

Infosys Limited; Bengaluru; On-site; INR 2,800,000 - 4,500,000; Full time

Job summary

Infosys Limited in Bangalore is seeking a Principal Technology Architect to lead AI transformation strategy and target-state architecture across business and technology domains. You will define roadmaps, governance models, and AI-ready data platforms, while guiding modernization and platform engineering initiatives.

The role requires senior leadership in cloud, AI, and enterprise architecture to drive client value.

Qualifications

• 15–20 years of work experience in technology leadership roles.
• Experience defining AI transformation vision and roadmaps.
• Ability to drive architecture governance and design assurance across programs.
• Proven track record influencing C-suite through workshops and roadmaps.
• Hands-on understanding of modern data platforms and AI ecosystems.

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.
• 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

AI strategy

Enterprise architecture

Cloud architecture

GenAI & AI governance

Platform engineering

SRE & observability

Education

Bachelor's/B.E./B.Tech

BSc/MTech

Tools

Azure

AWS

GCP

Kubernetes

Terraform / IaC

API / Event-Driven

Job description

BANGALORE, Infosys Limited Principal Technology Architect

Job ID/Reference Code INFSYS-INDEED1-253453

Work Experience 15 - 20 Years

Job Title Principal Technology Architect

Educational Requirements

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

Service Line

Application Development and Maintenance

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.

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 MetricsThe 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

Technical and Professional Requirements

AI & GenAI

• Generative AI and LLM architectures
• Agentic AI systems
• RAG architectures
• AI orchestration frameworksPrompt 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
• Operational Excellence

Preferred Skills

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