Sr. Software Architect - AI
Technology, Data & Digital · Software & Web Development · Software Engineering · Artificial Intelligence
In short
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.
- Define GenAI reference architectures and evaluate LLMs, embedding models, vector databases, and orchestration frameworks.
- Embed security, privacy, and Responsible AI governance from inception.
- Build scalable backend APIs using Python with REST/JSON-RPC interfaces and resilience patterns.
- Guide teams on MLOps/LLMOps standards including deployment, monitoring, retraining, and drift handling.
- Define LLM evaluation strategies, implement observability/tracing, and design memory strategies.
- Containerize and deploy services via Docker and Kubernetes.
- Govern CI/CD pipelines with automated testing, security scanning, and IaC.
Requirements
- BE/B.Tech/MCA in Computer Science, Engineering, or equivalent.
- 15+ years in software architecture.
- 3+ years designing AI/ML or LLM-based systems in production.
- Deep expertise in Python (FastAPI, asyncio).
- Proficiency with 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).
- Proven experience with agentic GenAI frameworks (LangChain, LangGraph, LlamaIndex, AutoGen).
- Strong knowledge of LLM architectures, fine-tuning techniques (LoRA, PEFT).
- Experience with Azure OpenAI and/or AWS Bedrock.
- Solid understanding of MLOps/LLMOps, Responsible AI principles.
- Proficiency with Docker, Kubernetes, Terraform, and CI/CD.
Desired Qualifications
- Experience with Model Context Protocol (MCP).
- Experience with LLM observability tools (Arize, LangSmith).
- Experience with Azure enterprise services (AKS, Key Vault).
- Experience with memory frameworks (MemGPT, LangMem).
- Knowledge graph experience.
- Telecom industry AI adoption background.
Benefits
- Outstanding opportunity to use skills and imagination.
- Build solutions never seen before.
- Challenging environment with a diverse team of innovators.
- Chance to craft what comes next.
Skills
Our purpose \nTo create connections that make the unimaginable possible.\n\nOur vision\nA world where limitless connectivity improves lives, redefines business and pioneers a sustainable future.\n\nOur values\nPerseverance, professionalism, respect and integrity.\n\nThe future is a place for purpose & vision – ours are clear, and we invite partners, customers and consumers to join us in our journey. \n\nFor a brighter future. For all. Let's #ImaginePossible
Company
EricssonJob Posted
3 days ago
Employment Type
Full Time
Work mode
On Site
Experience Level
Senior
Locations
Noida, India
Bangalore, India
Kolkata, India
Gurgaon, India
Chennai, India
Qualification
Applicants
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