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Senior AI Solutions Lead (Automotive / Retail)

Netline Technologies, LLCAuburn Hills, MI🇺🇸United StatesPosted 14 Aug 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Seeking a results-oriented Senior AI Solutions Lead to bridge business operations, data, and technology by identifying AI opportunities, building hands-on POCs/MVPs, and driving AI adoption in the Automotive, Retail, or Supply Chain sectors. You will turn business challenges into measurable AI solutions while ensuring compliance with enterprise AI governance.

Key Responsibilities

·       Strategy & Transformation: Identify, prioritize, and translate business challenges into practical AI/GenAI use cases across Automotive, Supply Chain, and Customer Experience.

·       Solution Development: Hands-on design, testing, and deployment of AI/GenAI POCs, pilots, and MVPs. Partner with IT to scale successful projects to production.

·       Data & Analytics: Query and analyze enterprise structured/unstructured data; define KPIs and value realization metrics.

·       Governance & Compliance: Ensure all AI initiatives follow AI Risk Assessment processes, Steering Committee guidance, and responsible AI practices.

Key Qualifications

·       Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (Master’s/MBA preferred).

·       Experience:

o   10 years in Data Analytics, Digital Transformation, AI, or ML.

o   2–3 years of hands-on experience delivering AI/GenAI use cases with measurable ROI.

o   Domain expertise in Automotive, Retail, Aftermarket, or Supply Chain.

·       Technical Skills: Python, SQL, Prompt Engineering, ML, Generative AI, Databricks, Snowflake, Cloud platforms, ETL pipelines, and APIs.

·       Mandatory Certifications: Must hold at least one recognized AI certification (e.g., Azure AI Engineer, AWS ML Specialty, Google Cloud Platform ML Engineer, Databricks ML, etc.).

Preferred Attributes

·       Strong storyteller capable of presenting AI business cases to executive leadership.

·       Hands-on experience with recommendation engines, chatbots/agents, demand forecasting, or tools like Azure OpenAI and Microsoft Copilot.

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