AI Solution Architect

We are seeking an AI Solution Architect who can bridge business strategy and hands-on technical delivery to build intelligent, scalable solutions. You will work closely with product engineers and business stakeholders to understand complex operational processes and turn them into practical AI-driven capabilities. The role focuses on transforming manual workflows and fragmented knowledge into agentic systems that improve efficiency, accuracy, and decision-making. You will design multi-agent AI workflows, develop robust data integrations, and help modernize legacy applications. Combining full-stack engineering, enterprise architecture, and rapid prototyping, you will bring ideas from early discovery to production-ready solutions. This is an opportunity to deliver measurable business impact in a collaborative, fast-moving environment.

• Work closely with client Product Engineers and Master Data teams to understand SKU lifecycle requirements, supply chain sourcing logic, and go-to-market (GTM) workflows.

• Translate informal operational knowledge, undocumented processes, and manual workflows into structured system requirements and AI-driven use cases.

• Identify opportunities to use LLM agents to reduce manual intervention and operational bottlenecks, including automated data stewardship, SKU attribute prediction, and anomaly detection.

• Design and deploy agentic AI workflows using frameworks such as LangGraph, CrewAI, or AutoGen, enabling automated validation of SKU requests, supply chain logic checks, and preparation of production-system payloads.

• Build resilient backend data pipelines using Python and Databricks to manage non-GTM SKU reservations and track product lifecycle states.

• Develop bidirectional integrations with Oracle ERP to support real-time status updates and consistent master data synchronization.

• Architect and rapidly prototype a modern web application using React on the frontend and Python/FastAPI on the backend, replacing legacy Excel-based entry processes.

• Implement AI-assisted user experience features, including Copilot-style capabilities that guide engineers through SKU creation and automatically populate supply chain and line-of-business (LOB) metadata based on historical patterns.

• Gather user feedback, refine prototypes, and drive adoption of solutions in collaboration with technical and business stakeholders.

• At least 5 years of relevant professional experience.

• At least 2 years in a Senior, Lead, Manager, or Owner-level role.

• Proven experience managing engagements involving teams of 5 or more full-time employees.

• Strong client-facing skills and the ability to work effectively in ambiguous environments, gather requirements from non-technical stakeholders, and encourage product adoption.

• A proactive, consultative approach to shaping solutions through business conversations rather than relying solely on predefined tasks or tickets.

• Hands-on experience building production-grade Generative AI applications and agentic systems, including multi-agent orchestration, tool/function calling, and Retrieval-Augmented Generation (RAG) over enterprise data.

• Strong full-stack engineering skills, including Python frameworks such as FastAPI, Flask, or Django, and modern React.js development.

• Experience with TypeScript and frontend state management.

• Background in data engineering and enterprise integrations, including building data pipelines and connecting large-scale enterprise platforms.

• Experience with Databricks and Oracle ERP, particularly APIs and data models, is highly desirable.

• Demonstrated ability to rapidly prototype solutions, moving from initial concepts to working MVPs within weeks and iterating based on real-time user feedback.

• Professional English proficiency (B2).

• A proactive, accountable, and solution-oriented approach to problem-solving.

• Experience with Microsoft Azure cloud infrastructure and services.

• Relevant professional certifications in AI, cloud, software engineering, or related areas.