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What you will get to do:
- Own the end-to-end RAG pipeline, from data ingestion to response generation.
- Design and implement Azure AI Search indexing strategies, including schema design, scoring profiles, and performance optimization.
- Develop and refine chunking and metadata strategies to maximize retrieval relevance and context quality.
Agentic Systems & Integration:
- Design and implement AI agents and agentic workflows, including tool use, planning, and multi-step task execution.
- Integrate agents with internal and external systems (APIs, databases, SaaS tools) to enable real-world actions.
- Define and implement evaluation frameworks (offline & online) to measure retrieval quality, agentic performance, and answer correctness.
Internal AI Practice - Use Case Development:
- Partner with business and technology leadership to identify, evaluate, and prioritize agentic AI opportunities.
- Translate business problems into AI system designs, scoping feasibility, defining data requirements, and owning delivery.
- Build repeatable patterns and internal tooling that accelerate future AI development across the organization.
Disher
Disher partners with a global supply chain solutions organization to fill this role. The employer empowers high-performance teams to solve complex global challenges through creativity, partnership, and technology, offering a supportive, collaborative environment with a focus on work-life balance and professional development.