Senior AI Technologist

Ericsson

Gurugram District

On-site

INR 3,500,000 - 6,000,000

Full time

10 days ago

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Job summary

Ericsson is seeking an AI Technologist – Autonomous Networks to design and industrialise AI/ML, GenAI and agentic AI solutions for network intelligence and managed services. You will work with data from 4G/5G/IoT and OSS/BSS, building scalable pipelines and production systems.

You will define problem statements, architect data flows, and deploy AI models with robust MLOps, security and governance. Strong collaboration across teams is essential.

Qualifications

  • 10+ years of industry experience in AI/ML, with 5+ years in production‑level AI/ML.
  • Hands‑on experience with GenAI, LLMs, RAG and AI agents.
  • Strong programming, software engineering and CI/CD practices.

Responsibilities

  • Identify and lead AI/ML, GenAI and agentic AI opportunities across Ericsson businesses.
  • Design data architectures, data flows, feature engineering approaches and ML architectures.
  • Develop and deploy AI/ML solutions using large‑scale telecom and IT data.
  • Industrialise AI solutions with production‑grade code, APIs and documentation.
  • Lead PoCs/MVPs from problem definition to production deployment and monitoring.
  • Own the MLOps lifecycle including training, deployment, monitoring and lifecycle management.

Skills

AI/ML development
GenAI & agentic AI
LLMs & RAG
MLOps & SDLC
Data engineering pipelines
Python / software engineering
Cloud AI platforms

Education

Bachelor's/Master's/PhD in CS/DS/AI/ML

Tools

Vertex AI
BigQuery
Agent Engine/Runtime
Model Garden

Job description

Job Description:

Join our Team

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:

  • Bachelors/Masters/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? 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, thats 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.

Primary country and city: India (IN) || Noida

Job details: Developer

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