Gen AI Architect

Job Title: GenAI Solution Architect

We are seeking a visionary GenAI Technical Architect to lead the design and deployment of cutting-edge Generative AI (GenAI) and Large Language Model (LLM)-based systems. Youll play a pivotal role in shaping intelligent applications, creating agentic systems, and orchestrating scalable solutions that unlock new frontiers in human-computer interaction and enterprise intelligence.

Responsibilities:

• Architect and implement GenAI and LLM-powered solutions for diverse use cases
• Design intelligent agents with capabilities like memory, tool use, and contextual orchestration
• Integrate embedding models, FAISS/Pinecone-based vector search, and knowledge retrieval systems
• Lead model deployment using frameworks such as TGI, vLLM, or OpenLLM
• Buildscalable, cloud-native architectures on AWS, GCP, or Azure
• Collaborate with cross-functional teams to design APIs and containerized services using Docker and Kubernetes
• Evaluate LLM capabilities and limitations to guide solution design and implementation
• Define GenAI best practices and contribute to internal knowledge-sharing effort

Required Skills:

• Proven experience designing and implementing GenAI or LLM-based systems using Python.
• Good expertise in Python, FAST API, AI,ML Concepts (Text Preprocessing, Vector Embedding, etc..)
• Deep understanding of LLMs—including capabilities, limitations, fine-tuning, and prompt engineering
• Strong grasp of agentic architecture principles, including tools, memory modules, and workflow orchestration
• Hands-on experience with vector search technologies (e.g., FAISS, Pinecone) and embedding techniques
• Practical experience deploying models with frameworks like TGI, vLLM, and OpenLLM
• Proficiency in designing and deploying solutions in cloud environments (AWS, GCP, or Azure)
• Expertise in API architecture and containerization using Docker and Kubernetes
• Excellent communication skills and a collaborative mindset

Desired Skills:

• Experience with multimodal AI systems
• Familiarity with privacy and ethical AI frameworks
• Contributions to open-source GenAI projects

Education:

• B.Tech/M.Tech/MCA