The Technology Architect will lead AI architecture governance, establish standards for AI applications, and ensure alignment with enterprise goals. Responsibilities include overseeing production AI deployments, promoting best practices, and collaborating on AI initiatives across the organization.
Join our Team
About this opportunity
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.
What You Will Do
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
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
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
Stay current with latest advancements in AI/ML, GenAI, and enterprise AI platforms
Evaluate emerging technologies and define adoption strategy for Service Delivery
Publish whitepapers, architectural guidelines, and thought leadership on AI in Service Delivery
Collaborate with other Ericsson organizations, architecture teams, and innovation units to understand ongoing AI initiatives
Leverage and integrate existing platforms, solutions, and learnings, avoiding 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
The Skills You Bring
Strong experience in AI/ML architecture with prior hands-on exposure to AI application development
Proven experience in 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:• Data modelling (conceptual/logical)• Data pipelines (ETL/ELT) and data engineering practices• Data quality, lineage, and governance
Experience with data platforms (data lakes, warehouses, 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/automation solutions
Experience defining architecture standards, guidelines, and governance frameworks
Strong communication and thought leadership capabilities (whitepapers, forums, strategy articulation)
Good to have: Experience in NLP, conversational AI, or automation in Service Delivery contexts. Certifications in AI/ML, Cloud, or Architecture frameworks (TOGAF, etc.), Telecom Domain Knowledge.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: India (IN) || Bangalore
Job details: Solution Architect
Job Stage: Job Stage 8
Primary Recruiter: Arunavo Banerjee
Hiring Manager: Subramanian Arumugam
About this opportunity
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.
What You Will Do
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
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
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
Stay current with latest advancements in AI/ML, GenAI, and enterprise AI platforms
Evaluate emerging technologies and define adoption strategy for Service Delivery
Publish whitepapers, architectural guidelines, and thought leadership on AI in Service Delivery
Collaborate with other Ericsson organizations, architecture teams, and innovation units to understand ongoing AI initiatives
Leverage and integrate existing platforms, solutions, and learnings, avoiding 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
The Skills You Bring
Strong experience in AI/ML architecture with prior hands-on exposure to AI application development
Proven experience in 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:• Data modelling (conceptual/logical)• Data pipelines (ETL/ELT) and data engineering practices• Data quality, lineage, and governance
Experience with data platforms (data lakes, warehouses, 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/automation solutions
Experience defining architecture standards, guidelines, and governance frameworks
Strong communication and thought leadership capabilities (whitepapers, forums, strategy articulation)
Good to have: Experience in NLP, conversational AI, or automation in Service Delivery contexts. Certifications in AI/ML, Cloud, or Architecture frameworks (TOGAF, etc.), Telecom Domain Knowledge.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: India (IN) || Bangalore
Job details: Solution Architect
Job Stage: Job Stage 8
Primary Recruiter: Arunavo Banerjee
Hiring Manager: Subramanian Arumugam
Ericsson Chennai, Tamil Nadu, IND Office
Ericsson Chennai Hub Office
Key IT stretch along OMR with strong tech presence. Close to residential areas, eateries and the coast, offering a relaxed lifestyle with good connectivity to central Chennai.
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