Sr. Software Architect-AI

As a Senior Software Architect - AI at Ericsson, you will be responsible for owning the end-to-end architecture for enterprise-scale GenAI and AI-powered solutions within the Self-Service Platform (SSP). Your main focus will be on designing 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. Key Responsibilities: - 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 and own foundation model integrations 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 - Build scalable backend APIs using Python (FastAPI, asyncio) with REST/JSON-RPC interfaces and resilience patterns - Define LLM evaluation strategies, implement observability/tracing, and design memory strategies for long-running assistants - Containerize and deploy services via Docker and Kubernetes; govern CI/CD pipelines with automated testing, security scanning, and IaC Qualifications Required: - BE/B.Tech/MCA in Computer Science, Engineering, or equivalent - 15 years in software architecture with relevant 3 years designing AI/ML or LLM-based systems in production - Deep expertise in Python and ML/DL frameworks - Hands-on experience with RAG pipelines, embeddings, and vector databases - Proven experience with agentic GenAI frameworks and interoperability patterns - Strong knowledge of LLM architectures, fine-tuning techniques, and experience with Azure OpenAI and/or AWS Bedrock - Solid understanding of MLOps/LLMOps, Responsible AI principles, and proficiency with Docker, Kubernetes, Terraform, and CI/CD for cloud-native AI deployments Additional Company Details (if provided): Ericsson encourages diversity and inclusion within the organization, believing that collaboration with people from different backgrounds drives innovation essential for future growth. They are proud to be an Equal Opportunity Employer, welcoming individuals from all backgrounds to apply and realize their full potential as part of the Ericsson team. Location: Bangalore, Kolkata, Gurgaon, Noida, Chennai. As a Senior Software Architect - AI at Ericsson, you will be responsible for owning the end-to-end architecture for enterprise-scale GenAI and AI-powered solutions within the Self-Service Platform (SSP). Your main focus will be on designing 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. Key Responsibilities: - 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 and own foundation model integrations 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 - Build scalable backend APIs using Python (FastAPI, asyncio) with REST/JSON-RPC interfaces and resilience patterns - Define LLM evaluation strategies, implement observability/tracing, and design memory strategies for long-running assistants - Containerize and deploy services via Docker and Kubernetes; govern CI/CD pipelines with automated testing, security scanning, and IaC Qualifications Required: - BE/B.Tech/MCA in Computer Science, Engineering, or equivalent - 15 years in software architecture with relevant 3 years designing AI/ML or LLM-based systems in production - Deep expertise in Python and ML/DL frameworks - Hands-on experience with RAG pipelines, embeddings, and vector databases - Proven experience with agentic GenAI frameworks and interoperability patterns - Strong knowledge of LLM architectures, fine-tuning techniques, and experience with Azure OpenAI and/or AWS Bedrock - Solid understanding of MLOps/LLMOps, Responsible AI principles, and proficiency with Docker, Kubernetes, Terraform, and CI/CD for cloud-native AI deployments Additional Company Details (if provided): Ericsson encourages diversity and inclusion within the organization, believing that collaboration with people from different backgrounds drives innovation essential for future growth. The