TECHNICAL/FUNCTIONAL SKILLS:

• Strong proficiency in Python, Type Script, SQL, Spark and other related languages and platforms.
• Familiarity with AI Tools, MCP Servers, and LLM integration.
• Experience with Microsoft Azure Cloud services (Data Factory, Synapse, Machine Learning, Databricks, Azure OpenAI).
• Demonstrated ability to design, implement data pipelines, AI/ML workflows, and LLM-enhanced applications.
• Strong understanding of RAG for combining structured supply chain data with LLMs.
• Ability to translate complex AI/ML/LLM-driven findings into actionable business recommendations.
• Excellent problem-solving and analytical skills.
• Effective collaboration skills for working across technical and non-technical teams.

EDUCATION:

• Minimum – Bachelor’s Degree in Computer Science, Data Science, Engineering, Supply Chain, Mathematics, or related technical/business field with 2+ years of experience in AI, ML, LLM integration, or supply chain analytics.
• Preferred – Master’s Degree in Computer Science, Data Science, Supply Chain Analytics, or related technical/business field with 2+ years of experience applying AI, ML and LLMs in supply chain or enterprise-scale environments.

PREFERRED SKILLS:

• Hands-on experience designing data structures and strategies to meet the needs of a large enterprise environment with a focus on AI/ML/LLM enablement.
• Understanding of how SAP Master Data, transactional data, and planning systems intersect with AI-driven supply chain applications.
• Familiarity with SAP data structures and tables (e.g., MSEG, MARA, MARC, BOM, LFA1, KNVV). S/4HANA experience a plus.
• Merging SAP and Non-SAP data structures into simplified datasets resulting in actionable insights across the organization.
• Ability to design AI/ML/LLM use cases that meet business requirements and provide tangible value to the organization.
  All qualified applicants shall be treated equally according to their individual qualifications, abilities, experiences and other employment standards. There will be no discrimination due to gender or gender identity, race, religion, color, national origin, ancestry, age, disability, sexual orientation, veteran/military status or any other basis protected by applicable law.
  Timken is a global technology leader in engineered bearings and industrial motion. Our expanding portfolio of next-generation solutions helps customers around the world improve efficiency, solve their toughest challenges, and push the boundaries of performance. We employ 19,000 people globally, operate from 45 countries, and posted $4.6 billion in sales in 2024.
  We have been recognized as one of America’s Most Responsible Companies and one of America’s Greatest Workplaces for Diversity by Newsweek, one of the World’s Most Ethical Companies® by Ethisphere and one of America’s Most Innovative Companies by Fortune.

Why Choose Timken?

• Over a century of knowledge and innovation
• A culture of top performance
• A global, diverse environment
• Products that contribute to a sustainable world
• A conviction to improve communities around us
• Competitive salary and benefits

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PURPOSE OF THE ROLE:

The primary goal of this position is to leverage artificial intelligence, large language models (LLMs), advanced analytics, and cloud-based solutions to enhance supply chain decision-making, efficiency, and resilience. The ideal candidate will combine strong technical expertise in AI, programming, and data engineering with a strong background/knowledge of SAP and other ERP systems. This role will focus on designing and implementing AI-driven insights, integrating LLMs into business workflows, and enabling smarter, faster decision-making across the enterprise.

KEY RESPONSIBILITIES:

• Develop, deploy, and maintain AI/ML/LLM-based solutions and tools.
• Build and integrate AI agents/tools that enable business users to query and interact with supply chain data quickly and seamlessly.
• Collaborate with supply chain, IT, and business stakeholders to identify opportunities where AI/ML/LLMs can automate reporting, document analysis, root cause investigation, and knowledge retrieval.
• Write, test, and maintain scalable code in Python/TypeScript/SQL, and other relevant languages for AI/ML/LLM development and data processing.
• Design and maintain pipelines that connect structured and unstructured supply chain data with LLMs.
• Integrate solutions within Microsoft Azure and Databricks platforms.
• Perform large-scale data analysis, identifying patterns, anomalies, and actionable insights across supply chain operations.
• Develop and implement conversational interfaces that allow stakeholders to leverage LLMs for real-time decision support.
• Ensure AI/LLM models and solutions are production-ready, scalable, and aligned with governance, compliance, and security standards.
• Stay current on emerging AI/LLM technologies, supply chain best practices, and cloud-native solutions to continuously advance organizational capabilities.