Gen AI Data Architect

Join our Team
About this opportunity:
We are excited to present a dynamic opportunity at the forefront of AI and data scientist and AI Data 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.
• Hands on Agentic AI, AI Loops, Agent loop, Strands, Agent skills, MCP,A2A, Hugging Face, RAG, LLM tunning, LangChain
• 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, HuggingFace) for robust interoperability.

The skills you bring:

• Proven AI/ML/GenAI architecture/design experience for large-scale systems.
• Hands on Agentic AI, AI Loops, Agent loop, Strands,Agent skills, MCP,A2A, Hugging Face, RAG, LLM tunning, LangChain
• 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.

Key Qualifications:
Education: B.E/B.Tech, MCA (regular)
Minimum experience: 10+ years
Locations: Gurgaon, Kolkata , Noida, Bangalore
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: 783479
#BI-Hybrid