- Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Strong experience designing and architecting scalable AI, Generative AI, and Agentic AI solutions for enterprise customers.
- Experience developing AI - powered applications using Large Language Models (LLMs), Retrieval - Augmented Generation (RAG), AI Agents, and Multi - Agent Systems.
- Ability to build cloud - native, secure, and highly scalable AI platforms and APIs.
- Experience leading technical design discussions, architecture reviews, and solution planning.
- Ability to mentor and guide AI engineers, data scientists, and full - stack development teams.
- Experience establishing engineering standards, coding best practices, AI governance frameworks, and technology roadmaps.
- Expert proficiency in Python.
- Solid experience with PyTorch, TensorFlow, Hugging Face Transformers, Scikit - learn, FastAPI, and REST APIs.
- Hands - on experience with Large Language Models (LLMs), Prompt Engineering, Retrieval - Augmented Generation (RAG), Fine - Tuning, Model Evaluation, AI Agents, Multi - Agent Systems, Function Calling, and Model Context Protocol (MCP).
- Experience with one or more AI frameworks, including LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, and Semantic Kernel.
- Experience with vector databases such as Pinecone, Azure AI Search, ChromaDB, Weaviate, Milvus, and FAISS.
- Hands - on experience with cloud platforms, including Microsoft Azure, Azure OpenAI, Azure AI Foundry, Azure Machine Learning, AWS Bedrock, Amazon SageMaker, and Google Vertex AI.
- Experience with Docker, Kubernetes, Git, CI/CD pipelines, MLflow, Azure DevOps, GitHub Actions,



MLOps, and LLMOps.
- Ability to build production - ready AI solutions using MLOps and LLMOps best practices.
- Experience optimizing AI model performance, latency, scalability, and operational costs.
- Ability to collaborate with Product Owners, Business Analysts, customers, and delivery teams to translate business challenges into AI - driven solutions.
- Experience leading proofs of concept (PoCs), customer workshops, and AI solution demonstrations.
- Experience ensuring the successful deployment, monitoring, and continuous improvement of AI systems.
- Strong understanding of AI governance, Responsible AI practices, model monitoring, and compliance standards.
- Experience implementing data privacy, security, explainability, ethical AI practices, AI observability, evaluation frameworks, and continuous model optimization.
- Experience in enterprise solution architecture and customer - facing consulting roles.
- Exposure to AI security, governance, Responsible AI, and AI compliance frameworks.
- Azure AI Engineer, Azure AI Foundry, AWS Machine Learning, or Google Cloud AI certifications are highly desirable.
- Excellent leadership, mentoring, analytical, and problem - solving skills.
- Outstanding communication, stakeholder management, presentation, and consulting skills.
- Ability to drive innovation, influence technical strategy, and deliver customer - focused AI solutions.

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.

📌 AI Engineer - Lead/Architect (Karnataka)
🏢 Kalpita Technologies
📍 Karnataka