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Java Architect

Infosys

3.5
256 reviews
Infosys
Job Type   /   Job Level
Full-time   /   Others/Any
Job Location
Pune Division, Maharashtra, India
Salary Range
INR 130,000 - INR 250,000 (Monthly)
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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 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. 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
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