Job Description

- 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
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 Requirement
Must Have Skills
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 Responsibility
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
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Certifications (Preferred)

- TOGAF

- Azure Solutions Architect Expert

- Azure AI Engineer Associate

- AWS Solutions Architect Qualified

- Cloud Architect Certifications

- AI/ML Certifications

- SRE Foundation

- Kubernetes Certifications

- Anthropic Certifications
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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

Educational Requirement
ME,MTech,Bachelor of Engineering,BCA,BSc,BTech

Preferred Skills
Technology->Architecture->Architecture - ALL,Technology->Java->Core Java

Service Line
Application Development and Maintenance

📌 Java Architect (Pune)
🏢 Infosys
📍 Pune