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Strong employer brand and metro location increase candidate density, but role is specialized, so medium competition.
Highly specialized AI agent and enterprise integration skills limit cross-industry transferability, so high sensitivity.
Explicit 10+ years requirement plus specialized AI, cloud, and integration skills create high shortlisting strictness.
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Lead technical solutions for AI product workloads to drive rapid adoption and support customer technical evaluation through ramp-up.
Develop prototypes, proofs-of-concept, and demos integrating AI agents with enterprise data, tailoring solutions to customer needs to secure expert buy-in.
Provide deep technical consultation, influence product development through customer feedback, and collaborate on reusable Go-to-Market assets.
Bachelor's degree in a technical field or equivalent practical experience.
10 years of experience with cloud native architecture in a customer-facing or support role.
Experience architecting AI model integrations with enterprise data using patterns like RAG, Text-to-SQL, and semantic search.
Proficiency coding in Python, JavaScript/TypeScript, Go, or Java for demoing and prototyping integrations.
Deep expertise in AI agent development and integration with enterprise systems using frameworks like LangGraph, Semantic Kernel, or Google AI Agent Development Kit.
Experience engaging with technical stakeholders and executive leadership to drive solution adoption.
Strong background with cloud technologies including SaaS, iPaaS, business automation, cloud infrastructure, and observability related to AI applications.