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Data Scientist - GenAI Architect 2

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  • Solution Architecture & Design
    • Lead the design and development of advanced AI solutions leveraging LLMs, GenAI models, AI agents, and hybrid AI approaches .
    • Architect scalable, secure, and efficient AI systems integrating traditional ML with emerging Generative AI capabilities.
    • Ensure AI solutions align with enterprise-grade performance, compliance, and ethical AI standards.
  • Thought Leadership & Innovation
    • Act as a subject matter expert (SME) in Generative AI, LLMs, and Agentic AI; contribute to technical strategy and AI roadmaps.
    • Represent the organization in conferences, whitepapers, patents, and client discussions as a recognized AI thought leader .
    • Explore, evaluate, and integrate cutting-edge research, frameworks, and toolkits in AI and ML.
  • Engineering & Delivery
    • Provide hands-on guidance for model fine-tuning, prompt engineering, multi-agent orchestration, and system optimization.
    • Lead proof-of-concept (PoC) development and transition of AI solutions into production.
    • Collaborate with product managers, data scientists, engineers, and stakeholders to deliver enterprise-ready AI solutions .
  • Mentorship & Leadership
    • Mentor and guide engineering teams on best practices in AI solutioning, research translation, and applied engineering .
    • Foster a culture of innovation, experimentation, and continuous learning within the AI/ML engineering group.


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