AI-Data Architect

10 years

3 - 7 Lacs

Posted:1 week ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Join our Team


About this opportunity:


Ericsson seeks a Solution Architect to design end-to-end GenAI/AI solutions that align with customer needs and business goals. You’ll bridge between requirements, architecture, and delivery, supporting consultants during analysis and high-level design, with opportunities to contribute to customer support, sales, and service delivery.


What you will do:

  • Define and own enterprise-scale GenAI/AI architectures.
  • Design reference architectures, reusable patterns, and integration best practices.
  • Collaborate with domain leads, data scientists, security, and developers to map requirements to scalable AI architectures.
  • Evaluate LLMs, vector databases, and orchestration frameworks for performance, compliance, and cost.
  • Architect RAG pipelines, agentic workflows, and multi-agent production deployments.
  • Embed security, privacy, governance, and Responsible AI by design.
  • Drive adoption of cloud-native AI services (Azure OpenAI, AWS Bedrock) with scalability in mind.
  • Lead model lifecycle management (deployment, monitoring, retraining, drift handling) and MLOps practices.
  • Recommend tools and protocols (e.g., MCP, LangChain, LangGraph) for robust interoperability.
  • Stay ahead of GenAI/AI trends and translate them into actionable roadmaps.


The skills you bring:

  • Proven AI/ML/GenAI architecture/design experience for large-scale systems.
  • Strong Python expertise; familiarity with ML/DL frameworks (PyTorch, TensorFlow).
  • Deep knowledge of LLM architectures, fine-tuning (LoRA, PEFT, adapters), and deployment strategies.
  • Experience with RAG pipelines, embeddings, and vector databases (Elastic, Pinecone, Milvus).
  • Familiarity with agentic GenAI systems (LangChain, LlamaIndex, AutoGen, Crew.ai, LangGraph) and MCP.
  • Cloud-native architecture (AWS, Azure) and container orchestration (Docker/Kubernetes).
  • Solid MLOps understanding (CI/CD for ML, observability, retraining, governance).
  • Strong business-technical communication and ability to translate requirements into practical roadmaps.
  • Bonus: Telecom enterprise AI adoption experience


Key Qualifications:

  • Education: B.E/B.Tech, MCA (regular)
  • Minimum experience: 10+ years
  • Locations: Gurgaon, Kolkata , Noida


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) || Gurgaon

Req ID: 775813

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