GenAI Architect

Vacancy Title: Gen AI Architect/Consultant

Locations: Gurgaon/Pune/Hyderabad/Bangalore/Chennai/Coimbatore
Primary Skill: Generative AI Architecture

Mandatory/Key Skills:
Experience with LLMs and agentic systems, deep learning (LSTM, CNN, VAE), GenAI tools (LangChain, LlamaIndex, Hugging Face, PEFT, LoRA, QLoRA), RAG pipelines, vector databases (FAISS, Qdrant), cloud AI platforms (AWS, Azure, GCP), MLOps, strong coding skills, AI evaluation frameworks (RAGAS, DeepEval), and practical knowledge of traditional AI/ML approaches.
Level: B2
Experience: 12+ Years

Requirements:
The ideal candidate will have over 12 years of experience in AI/ML, including at least 2 years specializing in Generative AI, large language models (LLMs), and agentic systems, with a proven track record in end-to-end technical implementation. Practical knowledge of traditional AI/ML approaches is essential. The candidate should possess deep learning expertise, including LSTM, CNN, and VAE, as well as hands-on experience with GenAI tools such as LangChain, LlamaIndex, Hugging Face, PEFT, LoRA, QLoRA, and RAG pipelines. Familiarity with vector databases like FAISS and Qdrant, and proficiency in cloud AI platforms such as AWS, Azure, and GCP, are required. MLOps experience is expected. Strong coding skills, knowledge of AI evaluation frameworks like RAGAS and DeepEval, a solid problem-solving mindset, and the ability to work cross-functionally with engineering teams are also necessary.

Responsibilities:
The role involves designing, building, and deploying scalable Generative AI solutions using the latest tools, frameworks, and cloud platforms. The candidate will develop, fine-tune, evaluate, and productionize AI and GenAI models, collaborating with teams to create scalable architectures. Ensuring model performance, security, and governance compliance is a key aspect of the position. The architect will also work closely with engineering teams to deliver robust solutions and contribute to the continuous improvement of AI systems.