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Job Description
Structured overview of role & requirementsAbout This Role
Assess and redesign operational processes to implement AI, deterministic automation, or hybrid intelligent systems replacing manual workflows.
Design and deploy event-driven intelligence systems, AI-generated narratives, push communication, and feedback loops enabling automated, context-aware operational workflows.
Integrate AI/LLM capabilities with semantic data models for non-technical natural language data interrogation; build scalable, maintainable AI-enabled reference implementations aligned with business needs.
Minimum Requirements
Demonstrated experience in designing and deploying AI-powered operational workflow systems including agentic workflows and production-grade implementations.
Strong understanding of data foundations and experience integrating AI/LLM with structured data sources (semantic layers, data warehouses, APIs).
Experience with event-driven architectures and context-aware AI systems, e.g., retrieval-augmented generation (RAG).
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in end-to-end AI system design from data signal to AI reasoning to user output within enterprise operational contexts.
Operates effectively as an embedded partner with data, analytics teams, and non-technical stakeholders to drive adoption and scale AI automation.
Capable of developing maintainable, extensible AI/automation solutions with strong documentation and mentoring orientation to enhance team capabilities.