Technology Architect- AI & DATA

Responsibilities

• 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 guidance on AI platform capabilities including Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, and AI Gateways.
• Evaluate business use cases for AI applicability, feasibility, and value realization.
• Guide engineering teams on architecture patterns, integration approaches, and data flows.
• Stay current with advancements in GenAI and enterprise AI platforms to define adoption strategies.

Requirements

• Strong experience in AI/ML architecture with hands-on exposure to AI application development.
• Expertise in GenAI, LLMs, RAG architectures, and enterprise AI solution patterns.
• Solid understanding of data architecture fundamentals, including data modeling, ETL/ELT pipelines, and lineage.
• 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, or GCP) and integration patterns.
• Proven ability to define architecture standards and governance frameworks.

About the Company

Ericsson is a global leader in telecommunications and technology, driving innovation in connectivity and digital transformation. We focus on building scalable, secure, and responsible technology solutions that shape the future of communication.