AI Solution Architect

We are looking for an AI Solution Architect to join our team. This role is ideal for someone who thrives at the intersection of business strategy and hands-on technical delivery. You'll work directly with stakeholders to uncover real-world challenges and transform them into intelligent, scalable solutions. If you enjoy moving fast, building from the ground up, and seeing your work create immediate business impact, this position offers a great opportunity to do just that Responsibilities Embed with client Product Engineers and Master Data teams to gain deep insight into SKU lifecycle nuances, supply chain sourcing logic, and go-to-market (GTM) workflows Translate informal, tribal knowledge and manual processes into structured system requirements and AI-driven use cases Proactively identify opportunities where LLM agents can reduce human-in-the-loop bottlenecks, such as automated data stewardship, intelligent SKU attribute prediction, and anomaly detection Design and deploy agentic AI workflows using frameworks such as LangGraph, CrewAI, or AutoGen to function as a "digital master data team," automatically validating SKU requests, checking supply chain logic, and preparing payloads for production systems Build resilient backend data pipelines using Python and Databricks to manage the reservation of non-GTM SKUs and oversee the state lifecycle of products as they progress Develop bi-directional integrations with Oracle ERP to ensure real-time status updates and consistent master data synchronization Architect and rapidly prototype a modern, intuitive web application, using a React frontend and Python/FastAPI backend, to replace the legacy Excel-based entry system Implement AI-assisted UI/UX capabilities, such as Copilot-style features, that guide engineers through the SKU creation process and auto-populate supply chain and LOB metadata based on historical patterns Requirements A minimum of 5 years of relevant experience At least 2 years in Senior, Lead, Manager, or Owner-level roles Proven track record managing engagements for teams of 5 or more full-time employees Strong client-facing acumen, with a demonstrated ability to operate in ambiguous environments, extract requirements from non-technical stakeholders, and drive product adoption, proactively shaping work based on business conversations rather than waiting on predefined tickets Hands-on experience in AI and agentic engineering, including building production-grade GenAI applications, orchestrating multi-agent systems, implementing tool-calling/function-calling, and applying RAG over enterprise data Strong full-stack proficiency, with solid software engineering fundamentals in Python (FastAPI, Flask, or Django) and modern React.js, including TypeScript and state management Experience in data and enterprise integration, including building data pipelines and connecting with large-scale enterprise platforms, with specific experience in Databricks and Oracle ERP (APIs and data models) highly desirable Demonstrated ability in rapid prototyping, moving from whiteboard concept to a working MVP within weeks, iterating quickly based on real-time user feedback Professional proficiency in English (B2) and a proactive, accountable approach to problem-solving Nice to have Experience with Microsoft Azure for supporting cloud infrastructure and services Relevant certification, which would be considered a valuable addition to your qualifications