About this opportunity:
The AI Technologist - Autonomous Networks designs, builds and industrialises AI/ML, GenAI and agentic AI solutions for network managed services and network intelligence. The role applies advanced AI to large-scale telecom and IT data, develops production-grade models, pipelines and digital-engineer agents, and collaborates with AI Domain Solution Leaders, architects and product teams to deliver scalable, secure and trustworthy solutions for Ericsson and its customers.
What you will do:
- Identify and lead AI/ML, GenAI and agentic AI opportunities across Ericsson businesses and strategic customers.
- Define data science problem statements, model validation strategies and measurable business outcomes.
- Design data architectures, data flows, feature engineering approaches and ML, deep learning, GenAI and agentic AI architectures.
- Develop and deploy predictive, anomaly detection, recommendation, root-cause and other AI/ML solutions using large-scale 4G/5G/5G-Advanced, IoT and OSS/BSS data.
- Design and implement GenAI solutions using LLMs, RAG, tool calling, agent orchestration and autonomous or assisted digital-engineer workflows for network operations.
- Lead PoCs and MVPs from problem definition and data exploration through production deployment and monitoring.
- Industrialise AI solutions with product teams through production-grade code, APIs, workflows and documentation.
- Build scalable data pipelines and storage/retrieval solutions for structured and unstructured data, including KPIs, logs, text and images.
- Own the MLOps lifecycle covering training, deployment, serving, monitoring, evaluation and model lifecycle management.
- Integrate AI models with network automation applications and Ericsson platforms through standard APIs and automation interfaces.
- Apply trustworthy-AI principles, guardrails, explainability, security and human-in-the-loop controls for safe deployment in live networks.
The skills you bring:
- Bachelor's/Master's/Ph.D. in Computer Science, Data Science, AI/ML, Electrical Engineering or a related discipline.
- 10+ years of industry experience, including 5+ years of production-level AI/ML experience, with hands-on GenAI and/or agentic AI development.
- Proven experience taking AI/ML and GenAI solutions from problem definition to production, including LLM assistants, RAG and AI agents.
- Strong programming and software-engineering skills with modern AI/ML and deep-learning frameworks, APIs, version control, testing and CI/CD.
- Strong knowledge of MLOps, SDLC, observability, security, model evaluation, configuration management and production readiness.
- Practical experience with the GCP AI ecosystem, including Vertex AI, Gemini, ADK, Agent Engine/Runtime, Model Garden, vector search, BigQuery, Spanner, Knowledge Catalog and Agent Gateway.
- Strong understanding of agentic AI architecture, including orchestration, agent harnesses, A2A, MCP, memory management, context engineering and token/cost optimisation.
- Hands-on expertise in data engineering, pipelines, big-data processing, storage, indexing, partitioning and retrieval.
- Telecommunications or IoT experience, particularly 4G/5G, OSS/BSS, network automation or network intelligence, is highly desirable.
- Ability to translate complex business and network challenges into practical AI solutions and communicate effectively with technical and non-technical stakeholders.
- Strong customer and value orientation, collaboration, creativity, ownership and ability to drive complex initiatives to completion.
- Experience with AI/ML communities, technical publications, white papers, conferences or patents is a plus.
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) || Noida
Job details: Developer
Skills Required
- Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, AI/ML, Electrical Engineering, or a related discipline
- 10+ years of industry experience
- 5+ years of production-level AI/ML experience
- Hands-on GenAI and/or agentic AI development experience
- Experience taking AI/ML and GenAI solutions from problem definition through production
- Experience building LLM assistants, RAG solutions, and AI agents
- Strong programming and software-engineering skills
- Experience with AI/ML and deep-learning frameworks, APIs, version control, testing, and CI/CD
- Strong knowledge of MLOps, SDLC, observability, security, model evaluation, configuration management, and production readiness
- Practical experience with the GCP AI ecosystem, including Vertex AI, Gemini, ADK, Agent Engine or Runtime, Model Garden, vector search, BigQuery, Spanner, Knowledge Catalog, and Agent Gateway
- Strong understanding of agentic AI architecture, orchestration, agent harnesses, A2A, MCP, memory management, context engineering, and token/cost optimization
- Hands-on expertise in data engineering, pipelines, big-data processing, storage, indexing, partitioning, and retrieval
- Telecommunications or IoT experience, particularly 4G/5G, OSS/BSS, network automation, or network intelligence
- Ability to translate complex business and network challenges into practical AI solutions and communicate with technical and non-technical stakeholders
- Experience with AI/ML communities, technical publications, white papers, conferences, or patents
What the Team is Saying
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Ericsson Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as broad and reliable, with multiple medical plan choices, dental/vision, and mental-health/EAP resources. Available descriptions highlight healthcare and disability insurance as consistent strengths.
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Retirement Support — U.S. materials point to an automatic company 401(k) contribution plus matching that can add up to a notably high employer contribution, and some regions also offer pension options. This structure is often cited as a meaningful component of total rewards.
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Leave & Time Off Breadth — Time-off programs are characterized as generous, with sizable vacation allowances, paid holidays, sick time, volunteer time, and strong parental leave in some locations. PTO is frequently highlighted as a standout element of the package.
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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Ericsson Offices
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.
