The Senior Software Architect will design and architect AI-powered solutions, manage the full model lifecycle, and ensure compliance with Responsible AI governance while working on enterprise-scale applications.
Join our Team
About this opportunity:
Join Ericsson as a Software Architect - AI (Full Stack), leading the design and delivery of production-grade enterprise AI features and full-stack solutions. You will own key technical decisions across UI, backend services, and LLM application architecture - spanning agents/copilots, RAG pipelines, evaluation, observability, and security. You will mentor engineers and partner with product and platform teams to ship reliable, scalable AI capabilities in a high-ownership, collaborative environment.
What you will do:
The skills you bring:
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) || Noida
Req ID: 784062
About this opportunity:
Join Ericsson as a Software Architect - AI (Full Stack), leading the design and delivery of production-grade enterprise AI features and full-stack solutions. You will own key technical decisions across UI, backend services, and LLM application architecture - spanning agents/copilots, RAG pipelines, evaluation, observability, and security. You will mentor engineers and partner with product and platform teams to ship reliable, scalable AI capabilities in a high-ownership, collaborative environment.
What you will do:
- Architect and deliver end-to-end AI products (UI + services) with ownership for performance, reliability, security, and maintainability; define standards and best practices for the team.
- Build LLM-powered applications (agents/copilots) including tool/function calling, structured outputs, prompt patterns, and guardrails.
- Design and optimize RAG pipelines (ingestion, chunking, embeddings, hybrid retrieval, reranking, citations) and develop REST APIs using Python (FastAPI) and/or Java (Spring Boot) with clean architecture patterns.
- Apply concurrent programming (async IO, multithreading) to optimize AI service throughput; integrate event-driven systems and message buses (Kafka) for scalable workflows.
- Build responsive front-end features using JavaScript/TypeScript (Angular preferred; React/Vue acceptable), including streaming UX (SSE/WebSocket) for chat and assistant experiences.
- Write automated unit/integration tests, contribute to CI/CD pipelines, and containerize and deploy applications using Docker, Kubernetes, and Helm.
The skills you bring:
- B.E/B.Tech/MCA with 10+ years in software engineering; strong hands-on experience delivering production AI services and web applications end-to-end.
- Proven experience building LLM applications (agents/copilots) including RAG, prompt engineering, tool/function calling, and safeguarding (PII handling, prompt injection awareness).
- Deep knowledge of microservices architecture and REST API design using Python (FastAPI); solid OOP and clean architecture principles.
- Front-end proficiency in JavaScript/TypeScript with Angular (React/Vue acceptable); familiarity with Linux/Unix environments and Agile SDLC practices.
- Proficiency with Docker, Kubernetes, Helm, and CI/CD practices; strong understanding of AI evaluation and observability (tracing, metrics, cost monitoring).
- Good to Have: GitLab CI, Apache/Confluent Kafka, cloud-native development (Azure/AWS/GCP), vector databases (Pinecone, FAISS, Elastic), LLM observability tools (LangSmith, Arize), and open-source contributions.
- 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.
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) || Noida
Req ID: 784062
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