AI Solutions Lead, Strategic Sourcing

Job Summary

AI Solutions Lead, Strategic Sourcing in Pune. The role defines and executes Kohler Strategic Sourcing digital AI transformation agenda by shaping and delivering innovative, AI-enabled technology solutions. The person has ownership of the AI solution lifecycle for Strategic Sourcing, from identifying business problems and designing solutions to development, implementation, and value realization. The ideal candidate has a proven track record in transforming business processes using AI, can develop robust AI agents, and effectively collaborates with enterprise technology teams for integration, data engineering, cybersecurity, and production deployment. This role ensures rapid prototyping and agile delivery to meet evolving business needs.

Key Responsibilities

• AI Opportunity Discovery: Partner with Strategic Sourcing leaders, Category Managers and cross functional teams to identify high value business problems, redesign workflows and determine where AI, automation or traditional solutions can create measurable value.
• Co-develop, AI Agents: Scope & Design end-to-end multi-agent systems for sourcing workflows by translating business needs into AI-driven solutions, with a focus on rapid prototyping.
• Optimize Procurement: Find use cases & build AI solution for them for example automate supplier research, RFx creation, spend analysis, sourcing insights, analytics etc.
• Integrate Systems: Define the data, system and integration requirements required for AI solutions and partner with Data Engineering, IT teams to establish integration with SAP/ PLM/ other data sources as needed.
• Deploy RAG Pipelines: Enable deep analysis of complex supplier contracts and procurement knowledge.
• Govern and Monitor: Establish guardrails for accurate, secure, compliant outputs; monitor platform health, model performance, and optimize resource/ tokens usage.
• Collaborate Cross-Functionally: Partner with Category Managers, Sourcing Leadership, Data Engineers, and IT Security teams.

Required Qualifications

• Education: Bachelor degree in computer science, Engineering, Data Science, Supply Chain, or related technical field.
• Deep expertise across the modern GenAI stack: LLMs, agents, RAG, vector databases, embeddings, prompt engineering, and evaluation harnesses. Proficiency in Python and APIs sufficient to independently prototype and build AI solutions.
• Hands-on experience designing system-of-systems AI pipelines spanning search, retrieval, agent harnesses, and model selection/triage.
• 3-5 years of experience across ML/AI, software solutions, automation or related technology roles, including recent hands-on experience designing and building Generative AI or agentic AI solutions.

Additional Skills

• Domain Experience: Experience applying AI or data science solutions in Strategic Sourcing, Procurement, or Supply Chain.
• Strong proficiency with Microsoft AI stack: Azure OpenAI, Azure AI Foundry, Azure AI Search, and supporting Azure infrastructure including Databricks.
• Business Translation: Ability to convert complex AI concepts into clear procurement value for stakeholders.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.