Gen AI Architect

Position: Gen AI Architect 
Location: Santa Clara CA ***Day 1 Onsite***

GenAI Architect

Job Description:
1.           Design and develop the architecture and infrastructure for GenAI systems, including data storage, processing, and retrieval mechanisms. Ensure scalability, flexibility, performance, and efficiency of the GenAI systems to handle large volumes of data and complex algorithms seamlessly.
2.           Should lead the decision-making process for technical and architectural choices with external Gen AI service providers (for example: Microsoft, Amazon etc.) to ensuring that solutions are scalable, maintainable, and cost-effective.
3.           Must collaborate with Business Partners, Stakeholders, product owners and software engineers to understand business requirements and translate them into Gen AI (enterprise) solutions. Must have experience in model optimization and fine-tuning of large language models for better performance, latency, memory, and throughput.
4.           Demo the results of analyses/design in a clear and impactful manner. Able to break down sophisticated AI & Machine Learning model knowledge to easy to interpret information for non-technical audiences. Identify relevant Use Case specific data sources and design methods for data collection, integration, cleansing, and transformation.
5.           Collaborate with data engineers to ensure quality and relevance of data for GenAI model training. Collaborate with software developers and engineers to integrate AI systems into existing platforms or applications. Ensure seamless communication and compatibility between GenAI components and other software modules.
6.           Ensure alignment to ethical AI practices, such as fairness, transparency, and accountability. Address biases and potential risks a
1.           Should have 8+ years as an AI Architect or in a similar role. Required solid understanding, experience in advanced machine learning algorithms, deep learning, statistics, NLP, large language models, Knowledge Graphs, AI Agents.
2.           Should have knowledge and experience with models such as BERT, GPT, Roberta, etc.
3.           Proven experience in developing and implementing generative AI models and algorithms.
4.           Strong Experience of NLP (NLTK, Spacy, Gensim, BERT, SBERT models). Required good Experience of LLMs, GenAI, LangChain, LangGraph, EmbedChain, Transformers, Reinforcement Learning.
5. 
9.           Good to have an in-depth understanding of generative models such as GANs, VAEs, and autoregressive models. Must be B.E. / B.Tech / MCA (computer science background)