Artificial Intelligence Architect

Ikrux; Ernakulam, Dadri, Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Ikrux is seeking a Senior AI Architect to lead enterprise-grade Generative AI and Agentic AI initiatives. You will design, deploy, and optimize AI systems using GPT-4/OpenAI, LangChain, LangGraph, and RAG for scalable enterprise applications.

The role requires 15+ years IT experience, strong Python skills, and hands-on ML/DL expertise with Docker and Kubernetes. You will collaborate with cross-functional teams and ensure governance and security standards are met.

Qualifications

• 15+ years of IT experience.
• Proficient in Python and modern AI frameworks.
• Hands-on Generative AI and LLM experience.
• Experience with GPT-4/OpenAI.
• Strong skills in LangChain & LangGraph.
• Experience with RAG, MCP, and A2A.
• Fine-tuning LLMs and ML/DL fundamentals.
• Experience deploying AI apps with Docker & Kubernetes.
• Proficient in NLP and prompt engineering.

Responsibilities

• Design enterprise-grade Generative AI and Agentic AI solutions.
• Develop AI-powered apps using GPT-4/OpenAI, LangChain, LangGraph, and RAG.
• Build, fine-tune, and optimize LLMs for enterprise use cases.
• Design multi-agent AI workflows (Agentic AI, MCP, A2A).
• Build AI pipelines with Apache Airflow.
• Deploy and manage AI apps with Docker and Kubernetes.
• Collaborate with cross-functional teams to meet business needs.
• Optimize models for performance, scalability, and reliability.
• Implement prompt engineering and evaluate LLM performance.
• Stay updated on AI tech and governance standards.
• Ensure security and ethical AI compliance.

Skills

Python

Generative AI

LLMs

GPT-4/OpenAI

LangChain

LangGraph

RAG

Agentic AI

MCP

A2A

Fine-tuning LLMs

Machine Learning

Deep Learning

TensorFlow

PyTorch

Docker

Kubernetes

Apache Airflow

NLP

Prompt Engineering

Azure OpenAI

Tools

Docker

Kubernetes

Apache Airflow

TensorFlow

PyTorch

Job description

Senior AI Architect / Principal AI Architect Generative AI & Agentic AI

Experience: 15+ Years
Location: Bangalore, Noida, Kochi
Employment Type: Full Time

Job Summary

We are seeking a highly experienced Senior AI Architect to design, develop, and deploy enterprise-scale Generative AI and Agentic AI solutions. The ideal candidate will have extensive hands-on experience with LLMs, GPT-4/OpenAI, LangChain, LangGraph, RAG, MCP, A2A, and modern AI deployment technologies. This role requires strong architectural expertise, excellent problem-solving skills, and the ability to deliver scalable AI solutions for enterprise applications.

Key Responsibilities

• Design and implement enterprise-grade AI, Generative AI, and Agentic AI solutions.
• Develop AI-powered applications using GPT-4/OpenAI, LangChain, LangGraph, and Retrieval-Augmented Generation (RAG).
• Build, fine-tune, and optimize Large Language Models (LLMs) for enterprise use cases.
• Design multi-agent AI workflows using Agentic AI frameworks, MCP, and A2A.
• Build and maintain AI pipelines using Apache Airflow.
• Deploy and manage AI applications using Docker and Kubernetes.
• Collaborate with cross-functional teams to understand business requirements and deliver AI-driven solutions.
• Optimize AI models for performance, scalability, and reliability.
• Implement prompt engineering techniques and evaluate LLM performance.
• Stay updated with emerging AI technologies and industry best practices.
• Ensure AI solutions comply with enterprise security, governance, and ethical AI standards.

Must Have Skills

• 15+ years of IT experience.
• Strong programming experience in Python.
• Hands-on experience in Generative AI and Large Language Models (LLMs).
• Experience with GPT-4/OpenAI.
• Strong expertise in LangChain and LangGraph.
• Hands-on experience with Retrieval-Augmented Generation (RAG).
• Experience with Agentic AI, MCP (Model Context Protocol), and A2A (Agent-to-Agent).
• Experience in Fine-tuning LLMs.
• Strong understanding of Machine Learning and Deep Learning.
• Hands-on experience with TensorFlow or PyTorch.
• Experience deploying AI applications using Docker and Kubernetes.
• Experience building workflows using Apache Airflow.
• Strong knowledge of Natural Language Processing (NLP).
• Excellent analytical, communication, and stakeholder management skills.

Good to Have

• Azure OpenAI
• Azure AI Foundry
• Azure Machine Learning
• Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate)
• Hugging Face
• MLflow
• FastAPI
• MLOps
• Computer Vision

Key Skills

Python, Generative AI, GenAI, Large Language Models (LLMs), GPT-4, OpenAI, LangChain, LangGraph, Retrieval-Augmented Generation (RAG), Agentic AI, MCP, Model Context Protocol, A2A, Agent-to-Agent, Fine-tuning LLMs, Machine Learning, Deep Learning, TensorFlow, PyTorch, Docker, Kubernetes, Apache Airflow, NLP, Prompt Engineering, Azure OpenAI.