About this opportunity:
We are seeking an experienced AI Architect to join our Architecture & Technology Board and drive scalable, responsible AI adoption across Service Delivery. In this role, you will define architectural standards, governance frameworks, and reusable patterns that enable teams to build secure, production-ready AI solutions aligned with enterprise objectives.
What will you do:
- Define and govern architecture standards, patterns, and guardrails for AI/ML, GenAI, and data platforms.
- Evaluate and approve AI solutions through the Architecture & Technology Forum.
- Ensure alignment with enterprise architecture, data governance, security, and compliance requirements.
- Guide adoption of advanced AI capabilities, including MCP, A2A communication, AI Gateways, and observability frameworks.
- Oversee production-grade AI deployments to ensure scalability, reliability, and operational excellence.
- Establish best practices for data quality, lineage, governance, compliance, and lifecycle management.
- Maintain baseline architectures for AI services, platforms, and data ecosystems.
- Assess business use cases for AI applicability, technical feasibility, and business value.
- Advise engineering teams on optimal solutions across AI, automation, and traditional software approaches.
- Promote reusable AI components, datasets, integration patterns, and architecture standards.
- Drive adoption of modern architecture patterns, data flows, and enterprise integration strategies.
- Evaluate emerging technologies and define AI adoption roadmaps for Service Delivery.
- Publish architectural guidelines, whitepapers, and thought leadership content.
- Collaborate with Ericsson architecture and innovation teams to align initiatives, share knowledge, and accelerate reuse.
- Act as the technical bridge between global AI initiatives and Service Delivery execution.
The skills you bring:
- Strong AI/ML architecture experience with prior hands-on AI application development of 8 + years.
- Proven experience leading or governing enterprise-scale AI/ML deployments.
- Deep expertise in GenAI, LLMs, RAG architectures, and enterprise AI solution patterns.
- Strong understanding of data modeling, ETL/ELT pipelines, data engineering, governance, lineage, and compliance.
- Experience with data lakes, data warehouses, streaming platforms, feature stores, and vector databases.
- Solid knowledge of MLOps, AI operations, and end-to-end data lifecycle management.
- Hands-on experience with AWS, Azure, or GCP AI ecosystems and enterprise integration patterns.
- Ability to translate complex business requirements into practical AI, ML, automation, or software solutions.
- Experience defining architecture standards, governance frameworks, and technical guidelines.
- Strong communication and stakeholder management skills, including whitepaper development and technical presentations.
- Experience in NLP, conversational AI, intelligent automation, or related AI domains.
- Telecom industry knowledge is an advantage.
- Certifications in AI/ML, Cloud, or Architecture frameworks (e.g., TOGAF) are preferred.
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.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
Req ID: 783753
Skills Required
- Strong experience in AI/ML architecture
- Proven experience governing production-grade AI/ML deployments
- Expertise in GenAI and LLMs
- Solid understanding of data architecture fundamentals
- Experience with data platforms such as data lakes and warehouses
- Knowledge of feature stores and vector databases
- Strong understanding of AI lifecycle management
- Experience with cloud AI ecosystems
- Ability to assess business use cases for AI
- Experience defining architecture standards and governance frameworks
Ericsson Compensation & Benefits Highlights
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Healthcare Strength — Comprehensive medical, dental, vision, and mental‑health options are positioned as core benefits with multiple plan choices in key markets. Official materials explicitly emphasize healthcare breadth as part of “Life at Ericsson.”
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Retirement Support — 401(k) with employer matching in the U.S., pensions in some regions, and broad access to an ESPP indicate strong long‑term financial support. Company filings and AGM materials describe share programs and post‑employment benefits as ongoing pillars of the package.
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Leave & Time Off Breadth — Paid time off, sick leave, holidays, and paid volunteer time are highlighted alongside generous parental leave in various locations. Time‑off entitlements are presented as a strong component of the total rewards offering.
Ericsson Insights
What We Do
Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.
Why Work With Us
Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Ericsson adopts a hybrid work model globally because we know balance matters. Sometimes things are better in real life. Other times we can be more productive at home. Our hybrid approach gives you the best of both worlds.






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