Generative AI Solution Architect
1 day ago
Must Have Technical/Functional Skills
• Proven experience in designing and deploying GenAI solutions in enterprise settings.
• Strong understanding of LLMs (e.g., GPT, LLaMA, Claude), prompt engineering, and fine-tuning techniques.
• Proficiency in Python and AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
• Experience with cloud platforms (Azure, AWS, GCP) and MLOps practices.
• Familiarity with data privacy, ethical AI, and responsible AI principles.
• Excellent communication and stakeholder management skills.
Roles & Responsibilities
• Architect and design end-to-end GenAI solutions using LLMs, multimodal models, and other generative technologies.
• Collaborate with business stakeholders to identify use cases and define solution requirements.
• Lead the development and deployment of GenAI models, ensuring alignment with enterprise architecture and data governance standards.
• Evaluate and integrate third-party GenAI platforms, APIs, and tools.
• Ensure scalability, performance, and security of GenAI applications in production environments.
• Provide technical leadership and mentorship to data scientists, engineers, and developers.
• Stay abreast of emerging GenAI trends, tools, and research to continuously enhance solution capabilities.
Generic Managerial Skills, If any
• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
• Experience in domains such as healthcare, supply chain, or manufacturing is a plus.
• Certifications in AI/ML technologies.
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