Principal Technology Architect

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 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

Technical and Professional 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