SeniorDirectorAIPlatforms

architecting and developing complex AI applications, NLP, FMs, LLMs, and other AI/GenAI models, cloud computing platforms like AWS or Microsoft Azure, deploy LLMs to cloud/ on-premises and use APIs, Agents to build solutions, development of model lifecycles e. g. AgentOps, MLOps. LLMOps, Programming such as Python, R, SPARK, SQL, NLP libraries, AI tools like BERT, IT Strategy & Planning, Influencing and persuading, Managing resources, Priority & goal setting, Quality decision making, Implement Enterprise AI platforms adhering to organizational responsible AI practices, conduct regular ethical impact assessments, implement explainable AI techniques, Establish processes for human oversight and intervention, Ensure compliance with data privacy and security, implement robust data protection measures, Collaborate with Information security to conduct regular security audits and vulnerability assessments, Develop change management strategies for AI adoption, document successful implementations and lessons learned, create reusable components and templates, establish processes for scaling solutions across the organization, Evaluate and select appropriate generative AI tools and platforms, Integrate AI solutions with existing systems and workflows, develop custom solutions when necessary, Promote the adoption and effective utilization of generative AI across the organization, mitigating potential risks and ensuring compliance with relevant regulations and policies, Serve as a hub for knowledge sharing, learning, and support training related to generative AI technologies and applications