Enterprise Architect - Bangalore

Job Title: Enterprise Architect Generative AI, Open Source & Enterprise Tech Stack

Location:

Role Overview

Enterprise Architect with deep Generative AI expertise, strong open-source experience, and proven enterprise tech stack leadership

Key Responsibilities

Enterprise Architecture Leadership

• Develop and maintain the

  enterprise architecture blueprint

  covering applications, integration, data, security, and infrastructure.
• Define and standardize the

  enterprise tech stack

  across backend, UI, and integration layers.
• Champion

  open-source adoption

  where it offers business and technology advantages.

Generative AI Solutioning

• Architect

  enterprise-grade Generative AI

  solutions using both

  cloud-native

  and

  open-source AI frameworks

  (Hugging Face, LangChain, LLaMA, Haystack).
• Implement

  RAG pipelines

  , model fine-tuning, and AI integration into existing enterprise systems.
• Integrate AI capabilities with existing tech stack through APIs and microservices.

UI & Backend Technology Strategy

• Define and guide adoption of modern

  backend technologies

  : Java/Spring Boot, Angular, GO Lang, Python
• Define

  frontend/UI stack

  standards: Angular, React, Vue.js, Web Components.
• Ensure integration best practices for REST, GraphQL, and event-driven systems (Kafka, RabbitMQ).
• DevOps best practices

Open-Source Technology Leadership

• Drive adoption of

  open-source platforms

  for AI, integration, and development frameworks.
• Oversee governance, licensing compliance, and lifecycle management for open-source usage.

Governance & Compliance

• Establish enterprise AI governance frameworks
• Define policies for secure and compliant use of enterprise and open-source software.

Stakeholder Engagement

• Collaborate with business leaders, product managers, and engineering teams to align architecture with strategy.
• Mentor teams in enterprise architecture, AI, and open-source technologies.

Required Skills & Qualifications

• Education:

  Bachelors/Master’s in Computer Science, AI/ML, or related field.

• Experience:

• 15+ years in IT, with 10+ years in enterprise architecture.
• 3+ years in

  Generative AI / LLM solutioning

  with hands-on project delivery.
• Proven

  hands-on

  work in enterprise backend and UI development.

• Technical Expertise:

• Enterprise architecture frameworks (

  TOGAF, Zachman, FEAF

  ).
• Backend:

  Java/Spring Boot, .NET Core, Node.js, Python

  .
• UI:

  Angular, React, Vue.js

  .
• AI/ML: Hugging Face, LangChain, LLaMA, Haystack.
• Databases: SQL (PostgreSQL, Oracle, MySQL), NoSQL (MongoDB, Cassandra), Vector DBs (Milvus, Weaviate, FAISS).
• Cloud: AWS, Azure, GCP.
• Integration: REST, GraphQL, Kafka, RabbitMQ, API Gateway.

• Soft Skills:

  Strong leadership, solution design, and communication abilities.

Preferred Qualifications

• Multi-modal AI (text, image, audio, video) experience.
• MLOps and DevOps with open-source tools (MLflow, Kubeflow, Jenkins, ArgoCD).
• Contributions to enterprise or open-source architecture frameworks.

KPIs & Success Metrics

• Delivery of an enterprise architecture roadmap integrating AI and modern tech stack.
• Adoption of standardized UI and backend frameworks across the enterprise.
• Measurable ROI from AI and open-source adoption.
• Compliance with enterprise and AI governance standards.