Gen AI Architect

Office in Chennai, Coimbatore

Data Science Consulting

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We are seeking a highly skilled Gen AI Architect to lead the design, development, and deployment of cutting-edge Generative AI solutions, leveraging the latest tools, frameworks, and cloud platforms to solve complex challenges and drive innovation.

Responsibilities

Design and implement scalable architectures for Generative AI solutions using state-of-the-art tools and cloud platforms
Develop, fine-tune, and productionize Generative AI and traditional AI/ML models, ensuring optimal performance and stability
Ensure compliance with governance, security, and ethical AI standards in model development and deployment
Collaborate with cross-functional engineering teams to deliver seamless and robust AI solutions
Optimize model performance through effective evaluation methods, leveraging tools like RAGAS and DeepEval
Integrate vector databases such as FAISS and Qdrant into AI pipelines to enhance information retrieval and storage
Utilize cloud AI platforms, including AWS, GCP, or Azure, to build scalable solutions
Apply MLOps practices to streamline development and deployment workflows
Leverage Generative AI tools including LangChain, LlamaIndex, Hugging Face, PEFT, LoRA, QLoRA, and RAG pipelines for advanced solution-building
Provide expertise on traditional deep learning methods including LSTM, CNN, and VAE

Requirements

12+ years of experience in AI/ML with at least 2 years specializing in Generative AI, LLMs, and agentic systems
Expertise in neural network architectures such as LSTM, CNN, and VAE
Proficiency in advanced GenAI tools such as LangChain, LlamaIndex, and Hugging Face
Skills in leveraging PEFT, LoRA, QLoRA, and RAG pipelines
Familiarity with vector databases including FAISS and Qdrant
Proficiency in cloud AI platforms such as AWS, Azure, and GCP, with a solid understanding of MLOps practices
Knowledge of AI evaluation frameworks such as RAGAS and DeepEval
Strong coding expertise and a proven problem-solving mindset
Flexibility to work effectively in cross-functional engineering environments
English proficiency at B2 level or higher