Back
Niche GenAI requirements moderate applicant pool despite metro location and popular data science title.
Highly specialized GenAI and agentic systems focus makes cross-industry transfers difficult.
Multiple mandatory GenAI/LLM skills and production delivery expectations create strict technical filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design-to-execution delivery of enterprise-grade GenAI and agentic decisioning products with scalable, governed AI solutions.
Implement multi-agent GenAI workflows for decision automation, copilots, and chatbots aligned to business workflows.
Ensure governed, production-ready deployment including evaluation, observability, and collaboration with AI architects and data engineering teams.
Strong experience in GenAI, LLMs, and multi-agent systems architectures.
Hands-on expertise in RAG, prompt engineering, and LLM orchestration frameworks.
Experience building enterprise-scale AI applications like chatbots, copilots, or automation agents.
Work Experience Required: Not explicitly mentioned in the JD.
Proficient in architecting and delivering scalable, governed GenAI-driven agentic AI solutions in enterprise environments.
Able to partner with clients and internal teams to translate complex workflows into agent-driven AI solutions and ensure solution adoption.
Experienced in leading and mentoring data scientists for predictable delivery and code quality in GenAI implementations.