AI Architect

Job description

We are seeking a highly skilled **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