AI Architect

Job Summary

Job Title: AI Architect - Agentic / Gen AI, LLM Experience: 10+ Years Location: Chennai / Coimbatore / Bangalore / Pune (Hybrid) Employment Type: Full-time

About the Role We are looking for an innovative AI Architect who will lead the design and implementation of Agentic AI, Generative AI (GenAI), and Large Language Model (LLM) - driven solutions across enterprise applications. The ideal candidate will bridge research and production- defining AI strategy, architecture, and scalable model pipelines that transform business outcomes at KANINI and our global clients.

Key Responsibilities

• Architect and design end-to-end AI systems leveraging LLMs, GenAI, and Agentic AI frameworks.
• Define AI/ML solution architecture involving data ingestion, model training, orchestration, and deployment across Azure / AWS / GCP.
• Work on prompt engineering, RAG (Retrieval-Augmented Generation), and fine tuning of open-source and proprietary LLMs (GPT, Claude, Gemini, LLaMA, etc.).
• Collaborate with data scientists, MLOps engineers, and software developers to operationalize AI solutions in production environments.
• Design and implement AI agent workflows, leveraging frameworks like LangChain, LlamaIndex, Haystack, or Semantic Kernel.
• Ensure responsible AI principles, focusing on security, compliance, and ethical model usage.
• Define AI governance and observability frameworks for tracking model drift, bias, and performance.
• Stay updated on Agentic AI, multimodal AI, and self-learning systems, and evaluate emerging GenAI tools and APIs for business adoption.
• Provide technical leadership and mentorship to AI teams, guiding solution design, architecture reviews, and best practices.

Required Skills & Experience

• 10+ years of experience in software development, with at least 4+ years in AI/ML/GenAI architecture.
• Strong proficiency in Python, TensorFlow / PyTorch, and transformer-based architectures (BERT, GPT, T5, etc.).
• Proven experience with LLM integration, prompt engineering, RAG, and vector databases (FAISS, Pinecone, Chroma, Milvus).
• Hands-on experience with LangChain, LlamaIndex, OpenAI / Azure OpenAI, or similar LLM orchestration tools.
• Solid understanding of MLOps pipelines, CI/CD, and model deployment using Azure Machine Learning, SageMaker, or Vertex AI.
• Knowledge of API orchestration, microservices, and containerization (Docker, Kubernetes).
• Experience in integrating GenAI capabilities into enterprise apps (chatbots, copilots, document intelligence, code assistants, etc.).
• Strong analytical, communication, and solution design skills.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.