The role is critical for defining the product vision and strategy for AI space while collaborating with cross-functional teams
Job Summary
The role is critical for defining the product vision and strategy for AI space while collaborating with cross-functional teams.
Responsibilities include implementing AI platforms using agile methodologies, conducting POCs, and establishing governance processes for managing priorities and risks.
The position requires fostering collaboration on generative AI, ensuring data quality and security, and operationalizing LLMOps capabilities.
Matching Summary
The role is critical for defining the product vision and strategy for AI space while collaborating with cross-functional teams.
Skills & Requirements
Must-have
Experience architecting complex AI applications
Proficiency with NLP, FMs, LLMs, and GenAI models
Cloud computing platform experience AWS or Azure
Knowledge of LLMOps and model lifecycle development
Programming skills in Python, R, SPARK, SQL
Nice-to-have
Strong stakeholder engagement and executive sponsorship
Ability to drive innovation through emerging frameworks
Experience with responsible AI and ethical impact assessments
Familiarity with change management strategies for AI adoption
Key Requirements
Familiarity with developing model lifecycles like AgentOps and MLOps
Understanding of deploying LLMs to cloud or on-premises environments
Experience integrating AI solutions with existing systems and workflows