Back
Tier-1 brand, metro location, broad LLM/production skillset, and unspecified experience increase applicant competition.
Requires specialized LLM/Responsible AI and data governance expertise, moderately limiting cross-industry fit.
Strong mandatory technical skills and LLM experience without explicit years makes screening moderately strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and implement Automation and Agentic AI systems to support data governance, enablement, and stewardship activities, including developing automation around data access management.
Develop production-quality code and build AI agents capable of multi-step workflows interacting with enterprise data, governance policies, and systems integration including LLM-based agents.
Deploy, monitor, and scale AI solutions with compliance to data governance and Responsible AI principles, while providing technical documentation and enabling adoption across teams.
Bachelor’s degree in Computer Science, Software Engineering, Data Science, or equivalent practical experience.
Strong hands-on software engineering experience with demonstrated delivery of production systems.
Experience developing LLM-powered or AI-driven applications including orchestration, prompt engineering, and tool integration.
Proficiency in at least one modern programming language (e.g., Python, TypeScript, Java) and experience with APIs, microservices, and cloud-based architectures.
Experienced in Agentic AI architecture and automation in enterprise data governance contexts, preferably with frameworks such as LangChain or AutoGen.
Capable of moving from ambiguous problems to implemented, scalable AI-driven production services with emphasis on compliance, monitoring, and reliability.
Skilled in cross-functional collaboration to operationalize Responsible AI and data governance controls in regulated environments.