Description

Design and own the architecture for scalable Generative AI systems, focusing on data storage, processing, and retrieval.

This role is on-site.

Responsibilities

• Lead technical decision-making for external GenAI service providers (Microsoft, Amazon) to ensure cost-effective, maintainable solutions.
• Translate business requirements into enterprise-grade GenAI architectures that handle large data volumes and complex algorithms.
• Optimize and fine-tune large language models to improve performance, latency, memory, and throughput.
• Collaborate with data engineers on data collection and integration, and with software developers to integrate AI into existing platforms.
• Ensure alignment with ethical AI practices, addressing bias, fairness, transparency, and accountability.

Required Skills

• 8+ years of experience as an AI Architect or in a similar role.
• Hands-on experience with LLMs, GenAI, LangChain, LangGraph, EmbedChain, Transformers, and Reinforcement Learning.
• Deep understanding of advanced machine learning, deep learning, statistics, and NLP.
• Practical knowledge of BERT, GPT, Roberta, and SBERT models.
• Proficiency with NLP tools including NLTK, SpaCy, and Gensim.
• Experience with Knowledge Graphs and AI Agents.
• Ability to communicate sophisticated AI/ML concepts to non-technical audiences.

Preferred Skills

• In-depth understanding of generative models such as GANs, VAEs, and autoregressive models.

Key Skills

Education

Any Graduate