About the opportunity
Ericsson's Service Architecture team, within Service Management in the Operate Service Line, seeks an AI & Cloud Architect to define the strategy for an enterprise AI platform at global telecom scale. You will shape secure, reliable cloud-native capabilities that automate and augment managed service operations across ML/LLM platforms, MLOps, vector databases, knowledge graphs, RAG, and Agentic AI. As technical authority, you will connect engineering, product, enterprise architecture, and senior leadership, guiding teams from PoC to production using TOGAF-aligned practices.
What you will do
- Own architecture for data ingestion, feature stores, model training, inference, retrieval, graph context, and agent orchestration.
- Define reusable reference architectures for LLM, RAG, and multi-agent solutions.
- Lead architecture reviews, ADRs, technology radar updates, and build-versus-buy decisions.
- Design multi-region ML inference on AWS, Azure, and/or GCP, including GPU scaling, versioning, and safe deployments.
- Govern MLOps for versioning, registries, validation, retraining, and release promotion.
- Set patterns for self-hosted models using vLLM/TGI/Triton and commercial models through secure API gateways.
- Govern model selection, fine-tuning, quantisation, batching, latency, accuracy, cost, security, and data residency.
- Establish vector database standards using Pinecone, pgvector, Weaviate, Milvus, or equivalent, including embeddings, hybrid search, re-ranking, privacy, and index lifecycle.
- Design property-graph and RDF/ontology architecture using Neo4j, Neptune, Cypher, or SPARQL for graph-enhanced reasoning.
- Architect agent memory, tools, guardrails, human escalation, recovery, evaluation, and golden datasets; integrate agents with OSS/BSS, APIs, and event streams.
- Set standards for IAM, network security, PII redaction, audit logging, GDPR/AI Act, OpenTelemetry, SRE, and GPU FinOps.
You will bring
- 8-15 years of software/systems engineering experience, including 4+ years as an architect or principal engineer.
- Bachelor's/master's degree in computer science, Software Engineering, AI/ML, or equivalent; advanced degree preferred.
- Proven production delivery of large-scale AI/ML systems with vector retrieval, knowledge graphs, and Agentic AI/LLM systems using open-source and licensed models.
- Strong cloud-native experience on AWS, Azure, or GCP; multi-cloud is an advantage.
- TOGAF Foundation/Practitioner or equivalent enterprise architecture practice.
- Expert Python and proficient PySpark; experience with Spark, SQL, Kafka/Flink, Delta Lake/Iceberg, and distributed ML.
- Knowledge of supervised, unsupervised, deep learning, reinforcement learning, and sequence/time-series models, including validation and bias assessment.
- Experience with Terraform/Pulumi, Kubeflow, MLflow, Weights & Biases, LangGraph/AutoGen/CrewAI/Semantic Kernel, OpenTelemetry, Prometheus, and Grafana.
- Strong security, compliance, observability, and reliability skills.
All academic credentials must be from recognized and accredited institutions and are further subject to verification."
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) || Noida
Req ID: 788725
Skills Required
- 8-15 years of software or systems engineering experience, including 4 or more years as an architect or principal engineer.
- Bachelor's or master's degree in computer science, software engineering, AI/ML, or equivalent from a recognized and accredited institution.
- Production delivery experience with large-scale AI/ML systems involving vector retrieval, knowledge graphs, and Agentic AI/LLM systems.
- Strong cloud-native experience with AWS, Azure, or GCP.
- TOGAF Foundation/Practitioner certification or equivalent enterprise architecture practice.
- Expert Python and proficient PySpark skills.
- Experience with Spark, SQL, Kafka or Flink, Delta Lake or Iceberg, and distributed ML.
- Knowledge of supervised, unsupervised, deep learning, reinforcement learning, and sequence/time-series models, including validation and bias assessment.
- Experience with Terraform or Pulumi, Kubeflow, MLflow, Weights & Biases, agent frameworks, OpenTelemetry, Prometheus, and Grafana.
- Strong security, compliance, observability, and reliability skills.
- Advanced degree.
- Multi-cloud experience.
What the Team is Saying
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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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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.
