Sr. Software Architect - AI

Ericsson

Kolkata Metropolitan Area

Vor Ort

INR 4.500.000 - 8.000.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Ericsson in India seeks a Senior Software Architect – AI to own end-to-end architecture for enterprise-scale GenAI within our Self-Service Platform. You will design scalable, secure, production-grade AI platforms leveraging LangChain, LLMs, and cloud-native services, establishing reference architectures across RAG, memory, evaluation, and observability.

You will guide teams through the full model lifecycle, implement MLOps/LLMOps standards, security and Responsible AI governance, containerize

Qualifikationen

  • 15+ years in software architecture and 3+ years designing AI/ML or LLM-based systems in production.
  • Deep expertise in Python (FastAPI, asyncio) and ML/DL frameworks (PyTorch, TensorFlow).
  • Hands-on with RAG pipelines, embeddings, and vector databases for enterprise knowledge grounding.
  • Proven experience with agentic GenAI frameworks (LangChain, LangGraph, LlamaIndex, AutoGen).
  • Solid understanding of MLOps/LLMOps and Responsible AI principles.

Aufgaben

  • Architect agentic AI applications using LangChain and orchestration patterns; define prompt strategies and guardrails.
  • Design and optimize RAG solutions and integrate foundation models with routing, fallbacks, and cost/performance optimization.
  • Define GenAI reference architectures and evaluate LLMs, embeddings, databases, and orchestration frameworks.
  • Embed security, privacy, and governance from inception across data handling and content guardrails.
  • Build scalable backend APIs using Python with REST/JSON-RPC and resilient patterns; guide MLOps/LLMOps standards.
  • Define LLM evaluation strategies, implement observability, and memory strategies for long-running assistants.
  • Containerize and deploy services with Docker and Kubernetes; govern CI/CD pipelines with IaC Terraform.

Kenntnisse

Python
FastAPI
asyncio
ML/DL frameworks
PyTorch
TensorFlow
LLM architectures
LangChain
LangGraph
LlamaIndex
AutoGen
DevOps
Docker
Kubernetes
Terraform
CI/CD

Ausbildung

BE/B.Tech/MCA in Computer Science

Tools

Elastic
Pinecone
Milvus
Chroma
Redis
RabbitMQ

Jobbeschreibung

About this opportunity

Join Ericsson as a Senior Software Architect – AI, owning end-to-end architecture for enterprise-scale GenAI and AI-powered solutions within our Self-Service Platform (SSP). You will design scalable, secure, production-grade AI platforms leveraging agentic frameworks, LLMs, and cloud-native services. You will establish reference architectures across RAG, memory, evaluation, and observability while guiding teams across the full model lifecycle — at the intersection of AI innovation and Responsible AI governance.

Join our Team
About this opportunity

Join Ericsson as a Senior Software Architect – AI, owning end-to-end architecture for enterprise-scale GenAI and AI-powered solutions within our Self-Service Platform (SSP). You will design scalable, secure, production-grade AI platforms leveraging agentic frameworks, LLMs, and cloud-native services. You will establish reference architectures across RAG, memory, evaluation, and observability while guiding teams across the full model lifecycle — at the intersection of AI innovation and Responsible AI governance.

What you will do
  • Architect agentic AI applications using LangChain, LangGraph, and orchestration patterns; define prompt strategies, guardrails, and structured outputs aligned to product and risk requirements.
  • Design and optimize RAG solutions (chunking, embeddings, retrieval, re-ranking) and own foundation model integrations (Azure OpenAI, AWS Bedrock, on-prem LLMs) with routing, fallbacks, and cost/performance optimization.
  • Define GenAI reference architectures; evaluate and select LLMs, embedding models, vector databases, and orchestration frameworks based on performance, compliance, and cost.
  • Embed security, privacy, and Responsible AI governance from inception — covering PII handling, data access controls, and content guardrails.
  • Build scalable backend APIs using Python (FastAPI, asyncio) with REST/JSON-RPC interfaces and resilience patterns (Redis, RabbitMQ); guide teams on MLOps/LLMOps standards including deployment, monitoring, retraining, and drift handling.
  • Define LLM evaluation strategies, implement observability/tracing (Arize, LangSmith), and design memory strategies with retention and replay safety for long-running assistants.
  • Containerize and deploy services via Docker and Kubernetes; govern CI/CD pipelines with automated testing, security scanning, and IaC (Terraform or equivalent).
The skills you bring
  • BE/B.Tech/MCA in Computer Science, Engineering, or equivalent, with 15+ years in software architecture and relevant 3+ years designing AI/ML or LLM-based systems in production.
  • All academic credentials must be from recognized and accredited institutions and are further subject to verification.”
  • Deep expertise in Python (FastAPI, asyncio) and ML/DL frameworks (PyTorch, TensorFlow); strong experience with distributed, cloud-native services.
  • Hands-on with RAG pipelines, embeddings, and vector databases (Elastic, Pinecone, Milvus, Chroma) for enterprise knowledge grounding.
  • Hands on Python experience mandatory
  • Proven experience with agentic GenAI frameworks (LangChain, LangGraph, LlamaIndex, AutoGen) and interoperability patterns such as Model Context Protocol (MCP).
  • Strong knowledge of LLM architectures, fine-tuning techniques (LoRA, PEFT), and experience with Azure OpenAI and/or AWS Bedrock.
  • Solid understanding of MLOps/LLMOps, Responsible AI principles, and embedding governance into GenAI design. Proficiency with Docker, Kubernetes, Terraform, and CI/CD for cloud-native AI deployments.
  • Good to Have: LLM observability tools (Arize, LangSmith), Azure enterprise services (AKS, Key Vault), memory frameworks (MemGPT, LangMem), knowledge graph experience, and Telecom industry AI adoption background.
  • Locations: Bangalore, Kolkata, Gurgaon, Noida, Chennai
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.

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

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