PUNE · FULLTIME
Java Architect
Infosys
Pune · onsite · Posted 11d ago
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Section · 01
About this role
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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Section · 02
Skills
AI Governance and Responsible AIPrompt engineering and evaluation frameworksBusiness and Technology ArchitectureAPI Event-Driven and Microservices ArchitectureDevSecOps and Platform EngineeringGenerative AI and LLM architecturesKubernetes and Container ecosystemsTechnology strategy and roadmappingTOGAF or equivalent Enterprise Architecture frameworkReliability Operationsperformance engineeringAI Orchestration Frameworkscloud engineeringSolution architecturegoogle cloud platformamazon web servicesinfrastructure as codesreEnterprise ArchitectureOperational ExcellenceRAG ArchitecturesAgentic AI systemsarchitecture governanceresilience engineeringObservability platformsMicrosoft Azure
Section · Company
About Infosys
Infosys
IT Services & Consulting
323.6k+
employees
1981
45 years old
Bengaluru/Bangalore, Karnataka
India
About
Infosys is a global leader in next-generation digital services and consulting.
Industries
IT Services & ConsultingConsulting
Employee ratings
48,765 reviews
3.5/ 5
Culture
3.6
Career growth
2.6
Work-life
3.6
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