About the Company :

A leading technology consulting organization specializing in enterprise digital transformation, Artificial Intelligence, Cloud, Data Engineering, and Analytics solutions. The company partners with global enterprises to design, develop, and deploy scalable AI platforms and intelligent business solutions, enabling innovation through Machine Learning, Generative AI, and modern cloud technologies.

Job Summary :

We are looking for an experienced AI Architect to lead the design, governance, and implementation of enterprise AI solutions across Machine Learning, Predictive Analytics, Deep Learning, Generative AI, and Agentic AI. The ideal candidate will have strong expertise in architecting scalable AI platforms, cloud-native AI solutions, MLOps, LLMOps, and enterprise AI governance while collaborating with business and engineering teams to deliver impactful AI initiatives.

Key Responsibilities :

- Design end-to-end AI/ML, Generative AI, and Agentic AI solution architectures.
- Define AI reference architectures, standards, best practices, and reusable frameworks.
- Architect AI-powered applications using Machine Learning models, LLMs, Retrieval-Augmented Generation (RAG), AI Copilots, and AI Agents.
- Design enterprise AI platforms supporting MLOps, LLMOps, model deployment, monitoring, and governance.
- Develop reusable AI services, APIs, accelerators, and platform components.
- Drive platform scalability, reliability, security, performance,



and cost optimization.
- Architect cloud-native AI solutions on AWS, Azure, or GCP.
- Design data pipelines, lakehouse architectures, feature stores, and vector database solutions.
- Integrate AI platforms with enterprise systems and business applications.
- Define Responsible AI, security, compliance, and governance frameworks.
- Lead architecture reviews, mentor AI engineering teams, and establish technical best practices.
- Collaborate with business stakeholders to identify, prioritize, and deliver enterprise AI initiatives.

Required Skills :

- Machine Learning, Deep Learning, Natural Language Processing (NLP), Predictive Analytics
- Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Prompt Engineering, Vector Databases
- Python, TensorFlow, PyTorch, LangChain, LangGraph, MLflow
- MLOps, LLMOps, Docker, Kubernetes, CI/CD
- AWS, Microsoft Azure, or Google Cloud Platform (GCP)

Preferred Qualifications :

- Experience designing enterprise-scale AI platforms and intelligent applications.
- Strong understanding of AI governance, Responsible AI, security, and compliance frameworks.
- Experience building scalable cloud-native AI architectures and reusable AI services.
- Ability to lead architecture discussions and mentor cross-functional engineering teams.
- Solid stakeholder management, communication, and solution design skills.

📌 AI Architect (India)
🏢 BIG Ideas Social Media Recruitment
📍 India