Partner with different teams in the organization to understand business needs and identify opportunities AI technology can solve.
Evaluate AI tools and technologies, build vs buy evaluation, run POCs and proof of value.
Drive Projects from planning to execution to delivery while partnering with the relevant technical, legal, and business teams
Drive AI adoption in the organization including impact and value measurement
Build the Enterprise AI technology stack and be on lookout for new enterprise AI technologies and applications
Be the focal point for IS, IT and data team on for AI solutions and applications
Own and administer enterprise AI platforms and be responsible for the road map and solution adoption.
Proven knowledge and experience in leading GenAI applications implementation projects
Demonstrate knowledge in AI applications technologies - RAG engines, LLM runners, GenAI platforms (Open AI, Gemini, google vertex), Open source AI platforms like WebUI, agentic AI platforms.
Web development background (Front-end and Beck-end) - advantage
Experience in No code platforms (Worktato) development and API integrations - must
Experience in writing SQL queries and big data analytics tools (Google Big Query, redshift )
Proven project management skills and demonstrating product management mindset
Great communication skills and ability to provide training and enablement sessions
Creative and out-of-the-box thinking, focus on business impact and value to the organization, ability to run and react fast
Proven knowledge of customer support, sales and marketing processes and business technology