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Ericsson Logo Ericsson · IT - Software Development

Technology Architect

India, Bangalore · Job Posted May 10, 2026
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Job Description

We are seeking a seasoned AI Architect to join the Architecture & Technology Board, driving AI architecture direction and adoption across Service Delivery. This role ensures fit-for-purpose, scalable, and responsible AI usage aligned with enterprise goals, while enabling development teams to build consistent, reusable, and production-ready AI applications through strong governance and best practices.

Job Responsibility

  • Architecture Governance & Standards
  • Define and govern AI/ML, GenAI, and data architecture standards, patterns, and guardrails
  • Review and approve AI-related solutions within the Architecture & Technology Forum
  • Ensure alignment with enterprise architecture, data governance, security, and compliance
  • Provide governance and guidance on AI platform capabilities including Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, AI Gateways, and observability frameworks, ensuring secure, scalable, and well-orchestrated AI systems
  • Provide oversight on production-grade AI deployments, ensuring scalability, reliability, and observability
  • Ensure strong data lifecycle management including data quality, lineage, governance, and compliance
  • Establish and maintain baseline architecture for existing AI services and data ecosystems
  • Use Case Assessment & Fitment
  • Evaluate business use cases for AI applicability, feasibility, and value realization
  • Guide teams in selecting the right approach — AI vs. automation vs. traditional solutions
  • Ensure optimal technology fitment, avoiding overuse or misuse of AI
  • Enablement & Best Practices
  • Define and promote best practices for AI application design, data pipelines, and lifecycle management
  • Guide engineering teams on architecture patterns, integration approaches, and data flows
  • Enable reuse of AI components, datasets, and standardized solution patterns
  • Technology Leadership & Innovation
  • Stay current with the latest advancements in AI/ML, GenAI, and enterprise AI platforms
  • Evaluate emerging technologies and define adoption strategies for Service Delivery
  • Publish whitepapers, architectural guidelines, and thought leadership content on AI in Service Delivery
  • Collaboration & Reuse Across the Organization
  • Collaborate with architecture teams and innovation units to align on ongoing AI initiatives
  • Leverage and integrate existing platforms, solutions, and learnings to avoid duplication of efforts
  • Drive reuse, standardization, and alignment across units for consistent AI adoption
  • Act as a bridge between global initiatives and Service Delivery implementation

Requirements

  • Strong experience in AI/ML architecture with hands-on exposure to AI application development
  • Proven experience governing or leading production-grade AI/ML deployments
  • Expertise in GenAI, LLMs, RAG architectures, and enterprise AI solution patterns
  • Solid understanding of data architecture fundamentals including data modelling, ETL/ELT pipelines, data quality, lineage, and governance
  • Experience with data platforms such as data lakes, warehouses, and streaming systems
  • Knowledge of feature stores, vector databases, and data foundations for AI/GenAI
  • Strong understanding of AI lifecycle management (MLOps) and data lifecycle management
  • Experience with cloud AI ecosystems (AWS, Azure, GCP) and integration patterns
  • Ability to assess business use cases and map them to appropriate AI or automation solutions
  • Experience defining architecture standards, guidelines, and governance frameworks
  • Strong communication and thought leadership capabilities including whitepapers, forums, and strategic presentations
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