GenAI Architect

3 weeks ago

Noida India SWITS DIGITAL Private Limited Full time

Job Description Job Title: GenAI Architect Work Location: Noida Experience Required: 7 10 years total | 7+ years relevant | 2+ years in GenAI Job Description We are seeking an experienced GenAI Architect to design and implement advanced Generative AI solutions across text, image, and document intelligence domains. The ideal candidate will have hands-on experience with Azure AI Foundry, AWS Bedrock, Retrieval-Augmented Generation (RAG), Prompt Engineering, and Agentic AI architectures. Key Responsibilities - Architect and implement advanced Generative AI models for text and image generation, RAG pipelines, prompt engineering, and synthetic data generation. - Design RAG architecture, Agentic AI frameworks, and inference endpoints ensuring scalability and observability. - Develop, fine-tune, and optimize LLMs (OpenAI, Azure OpenAI, open-source models) for business applications. - Apply advanced prompt engineering techniques to improve AI accuracy, interpretability, and efficiency. - Integrate generative AI models into existing applications using Python, Docker, Kubernetes, and LangChain. - Implement data security, responsible AI, observability, and traceability across the AI pipeline. - Collaborate with data engineers and developers to align model outcomes with product and business objectives. - Evaluate and compare multiple LLMs using structured benchmarking and performance metrics. - Stay ahead of industry trends in GenAI, RAG, and Agentic AI, driving adoption of new best practices. Minimum Qualifications / Skills - Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related fields. - 710 years total experience with at least 2 years in Generative AI solutioning. - Strong proficiency in Python with experience in TensorFlow, PyTorch, and LangChain. - Hands-on experience with Azure AI Foundry, AWS Bedrock, Azure AI Search, Prompt Flow, and Inference Endpoints. - Deep understanding of RAG pipelines, prompt engineering, and zero-shot learning. - Strong background in data science principles, statistical analysis, and model performance tuning. Preferred Skills - Experience building and deploying Agentic AI frameworks and LLM orchestration pipelines. - Familiarity with NLP or Computer Vision for Generative AI applications. - Knowledge of Kubernetes, Docker, and cloud-native AI deployment practices. - Awareness of ethical AI, data security, and governance frameworks.

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