Principal AI Solution Architect (Supply Chain)

About Company ::

Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants.

Bristlecone is a supply chain and business analytics advisor, serving customers across a wide range of industries. Rated by Gartner as among the top ten system integrators in the supply chain space, we are uniquely positioned to solve contemporary business problems, with supply chain and analytics focus as our advantage. We have been a trusted partner and advisor to many leading, globally recognized companies such as Applied Materials, Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many others

ROLE OVERVIEW

We are seeking a visionary Principal AI Solution Architect to lead the digital transformation of enterprise supply chains using next-generation AI. In this role, you will combine deep technical expertise in AI engineering with a strong consulting mindset. You will act as a trusted advisor, identifying high-value AI, GenAI, and Agentic AI opportunities and translating them into robust, production-ready enterprise solutions.

This role is a unique blend of strategic architecture, hands-on prototyping, and stakeholder management.

Key Responsibilities

1. Partner with Supply Chain process and functional experts to identify high-value AI, GenAI, and Agentic AI opportunities across Plan, Source, Make, Deliver, Warehouse, Logistics, and Aftermarket processes.
2. Translate business requirements into AI solution designs, including agents, workflows, ML models, and decision intelligence capabilities.
3. Rapidly develop Proof of Concepts (PoCs) and prototypes using modern AI frameworks to validate business value and technical feasibility.
4. Define end-to-end solution architecture covering AI models, data pipelines, integrations, APIs, orchestration, security, and enterprise deployment.
5. Evaluate and recommend the most appropriate AI technologies, LLMs, ML techniques, vector databases, orchestration frameworks, and cloud platforms for each use case.
6. Collaborate with engineering teams to prepare detailed functional and technical solution specifications for production implementation.
7. Build reusable AI assets, accelerators, reference architectures, and Agent catalogs that can be leveraged across multiple customer engagements.
8. Support customer workshops, discovery sessions, and presales activities by presenting AI concepts, prototypes, architecture, and business value.
9. Stay current with emerging AI technologies, Agentic AI frameworks, enterprise AI platforms, and supply chain innovations to continuously enhance solution offerings.
10. Act as a trusted AI advisor by combining business process knowledge with strong AI engineering expertise to deliver innovative, scalable, and production-ready enterprise AI solutions.

Ideal Profile

• 10+ years of experience in AI, Machine Learning, Data Science, or AI Solution Architecture.
• Hands-on experience with GenAI, LLMs, Agentic AI frameworks (LangGraph, CrewAI, AutoGen, MCP/A2A), Python, cloud platforms, APIs, and enterprise solution architecture.
• Strong consulting mindset with the ability to communicate effectively with both business stakeholders and engineering teams.
• Experience in Supply Chain, ERP, Manufacturing, or CPG domains is highly preferred. xhyhwjd
• Demonstrated ability to build rapid prototypes and translate ideas into enterprise-scale AI solutions.