Role Overview :

We are looking for an experienced AI Architect to design and lead enterprise-grade AI solutions with a strong focus on Generative AI, Large Language Models (LLMs), Agentic AI, NLP, and Machine Learning. The role involves translating business requirements into scalable AI architectures and driving the design and implementation of AI solutions across cloud and enterprise environments.

Key Responsibilities :

- Design end-to-end AI/ML architectures aligned with business requirements and enterprise technology standards.

- Architect and implement solutions leveraging Generative AI, LLMs, Agentic AI, NLP, and Machine Learning.

- Design AI agents and intelligent workflows using appropriate agentic AI frameworks and LLM-based architectures.

- Evaluate and select AI models, frameworks, platforms, and technologies based on business and technical requirements.

- Design scalable AI solutions using Python, SQL, and Microsoft Azure.

- Develop architecture patterns for LLM applications, including prompt engineering, RAG, vector search, model integration, and AI orchestration.

- Define integration approaches for AI solutions with enterprise applications, APIs, data platforms, and existing technology ecosystems.

- Collaborate with business stakeholders, engineering teams, data scientists, and technology architects to translate business problems into AI solutions.

- Establish best practices around AI solution design, scalability, security, performance, governance, and responsible AI.

- Provide technical leadership throughout the AI solution lifecycle, from architecture and prototyping through implementation and deployment.

Required Skills & Experience :

- Strong experience in AI Architecture, Artificial Intelligence, Machine Learning, and Generative AI.

- Hands-on experience with LLMs and NLP and designing enterprise AI solutions.

- Strong understanding of Agentic AI, AI agents, LLM orchestration, and intelligent automation.

- Experience designing scalable AI/ML architectures and end-to-end AI solutions.

- Strong programming experience in Python; working knowledge of SQL.

- Experience with Microsoft Azure and cloud-based AI/ML services.

- Strong understanding of RAG, vector databases/search, prompt engineering, embeddings, and LLM integration.

- Experience with Java or enterprise application integration is an added advantage.