Collaborate with enterprise clients to understand business processes, pain points, data landscapes, and strategic goals. Solution Architecture: Design end-to-end solutions leveraging our platform capabilities (e.g. Knowledge Hubs,
RAG, LLMs). Create technical specs, data flow diagrams, and architecture documents. MCP & Ontology Design: Define intelligent workflows by designing ontologies and structuring Model Context Protocols (MCPs) to automate reasoning and … decision-making. Technical Leadership: Be the go-to expert for both clients and internal teams on platform architecture,
RAG, agentic automation, and best practices. Proof of Concept: Lead the design and execution of PoCs to demonstrate feasibility and value. Cross-functional Collaboration: Partner with Engineering and Product teams to align solution design with platform capabilities and product roadmap. Implementation Oversight … Senior Engineer). 3+ years in a client-facing, consultative role. Deep knowledge of microservices, distributed systems, and event-driven architectures. Strong foundation in AI/ML, especially LLMs,
RAG , and vector databases (e.g. Pinecone, Weaviate). Experience with enterprise data integration (e.g. PostgreSQL, SharePoint, APIs, warehouses). Cloud architecture experience (AWS, Azure, or GCP). Proficiency in Python (strongly
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