AI Solutions Engineer
Core
Act as a strategic technical consultant to diagnose business challenges and structure fragmented data for consumption by AI agents, focusing on the intersection of GenAI technology and non-technical business needs.
Role type
Senior AI Solutions Engineer (GenAI & Data Architecture)
Builds
Production-ready AI agent workflows, standardized data protocols (MCP), and internal SDKs/blueprints for federated AI consumption.
Domain
Conversational Commerce, Generative AI, Data Engineering
Deliverable
production ML models | product features
Required skills
End-to-end Agent Workflow architecture (LangGraph, CrewAI), Data Wrangling for unstructured/semi-structured data, MCP Server development, Python or Node.js, Microservices architecture, SDK/Blueprint creation, Legacy system integration via APIs, Business problem diagnosis & ROI translation.
Preferred skills
Marketing/Sales data ecosystem experience, Technical mentorship & community facilitation, Advanced RAG techniques (Hybrid Search, Re-ranking, Self-RAG), Pragmatic architectural pivoting.
Responsibilities
Diagnose business pain points in non-technical areas and translate them into measurable AI solutions; Organize and structure fragmented data (CRM, analytics, campaigns) into consumible formats for LLMs; Build and publish MCP servers to expose data via modern protocols; Develop internal Blueprints and SDKs to standardize AI consumption across teams; Act as a technical reference to disseminate best practices and ensure data governance.
Seniority
Senior, hands-on IC with strategic consulting scope
