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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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