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