openripplingnvp
AI Tech Lead
Supplier.io
LocationHyderabad, Telangana, India
WorkplaceON_SITE
EmploymentSALARIED_FT
Posted2025-11-19T20:44:39.127000-08:00
Last observed2026-06-13 05:23:56.339060
Job idnvp-supplier-io:rippling:4a5eb3f5-0edc-47ed-b58b-e19923239832
Supplier.io is the market leader in supplier intelligence, trusted by over half of the Fortune 100 to power smarter, more responsible sourcing decisions. Our platform helps corporate procurement teams discover, evaluate, and engage with over 11 million suppliers with a focus on local, small, diverse, and sustainable businesses. This helps organizations build supply chains that are resilient, inclusive, and built for impact. Our solutions empower today’s procurement teams with accurate data, actionable insights, and measurable impact, which helps them mitigate risk, expand sourcing options, achieve ESG goals, and advance economic inclusion. Whether tracking spend, sourcing alternate suppliers, or measuring program results, Supplier.io transforms complexity into clarity; empowering teams to lead with confidence and build supply chains that deliver for both business and community. Join a company committed to innovation, inclusion, and making a difference one sourcing decision at a time. For more information, visit www.supplier.io. Reports to: CTO Number of Direct Reports: N/A Location: Hyderabad, India Working Shift: UK/Hybrid (2 days a week at office) About Supplier.io Supplier.io is the market leader in supplier intelligence, trusted by over half of the Fortune 100 to power smarter, more responsible sourcing decisions. Our platform helps corporate procurement teams discover, evaluate, and engage with over 20 million suppliers with a focus on local, small, diverse, and sustainable businesses. This helps organizations build supply chains that are resilient, inclusive, and built for impact. Our solutions empower today’s procurement teams with accurate data, actionable insights, and measurable impact, which helps them mitigate risk, expand sourcing options, achieve ESG goals, and advance economic inclusion. Whether tracking spend, sourcing alternate suppliers, or measuring program results, Supplier.io transforms complexity into clarity; empowering teams to lead with confidence and build supply chains that deliver for both business and community. Join a company committed to innovation, inclusion, and making a difference - one sourcing decision at a time. For more information, visit www.supplier.io. The Opportunity We are at an exciting stage in our AI journey. Supplier.io is embedding advanced AI capabilities across its data and product ecosystem to accelerate innovation and deliver smarter, more personalized sourcing experiences. The AI Technical Lead will serve as the CTO’s right hand in designing, developing, and implementing AI solutions that power Supplier.io’s next-generation platform. This is a hands-on individual contributor role focused on deep technical expertise, architecture, and execution, not people management. The ideal candidate will bring strong experience with LLM architecture, RAG systems, and agentic frameworks alongside a solid foundation in machine learning and data engineering. What You Will Do · AI Architecture & System Design o Architect, prototype, and deploy large language model (LLM) and retrieval-augmented generation (RAG) systems that enhance Supplier.io products. o Design scalable architectures for integrating LLMs into production workflows—balancing cost, latency, and performance. o Develop agentic AI workflows to automate complex tasks such as supplier search, enrichment, classification, and insights generation. o Offer varying strategies around custom AI models, open-source models, and 3 rd party models and help stakeholders understand their trade-offs. · Collaboration & Leadership – o Partner closely with AI Engineers to define implementation details, guide development, and ensure code quality and performance. o Collaborate with Product Managers and the CTO to translate business objectives into robust AI technical solutions. o Establish best practices for model orchestration, evaluation, and continuous improvement. · Research & Innovation o Explore emerging frameworks (LangChain, LlamaIndex, CrewAI
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