AI Architect

Are you ready to build something transformational from the ground up? A rapidly growing industrial and manufacturing-focused organization is investing heavily in digital innovation, automation, and advanced analytics to modernize operations across multiple business units. This is a rare opportunity to step into a highly visible role where you will architect and implement AI-driven solutions that directly impact production efficiency, quality, and strategic decision-making. You will partner closely with executive leadership and play a pivotal role in shaping the company’s long-term technology vision. This Role Offers Direct influence on enterprise-wide digital transformation initiatives High visibility with executive leadership and decision-makers Opportunity to build AI capabilities from the ground up Competitive compensation with performance-based incentives Comprehensive benefits package including health coverage and retirement plan Flexible hybrid work environment Focus Lead the design and execution of an enterprise AI and machine learning strategy aligned with operational and commercial goals Architect scalable data ecosystems including pipelines, APIs, and cloud-based infrastructure Develop and deploy machine learning models supporting predictive maintenance, demand forecasting, quality analytics, and process automation Integrate AI solutions with existing enterprise systems such as ERP and manufacturing platforms Identify opportunities to automate manual workflows across operations, supply chain, and commercial functions Partner cross-functionally with leadership teams to define use cases, measure ROI, and prioritize initiatives Establish best practices for data governance, model lifecycle management, and responsible AI usage Build and mentor internal technical capabilities, fostering a data-driven culture across the organization Skill Set Bachelor’s or master’s degree in computer science, Engineering, Data Science, or related field 7 or more years of experience in AI, machine learning, or data architecture roles Strong programming expertise in Python and SQL, with hands‑on experience in modern ML frameworks Experience deploying solutions in cloud environments such as AWS, Azure, or GCP Deep understanding of data engineering concepts including ETL processes, APIs, and system integrations Proven ability to translate complex business challenges into scalable technical solutions Excellent communication skills with the ability to engage both technical and non‑technical stakeholders Preferred Background Experience within manufacturing, industrial, or supply chain environments Familiarity with enterprise systems such as ERP platforms Exposure to computer vision, natural language processing, or time‑series analytics Knowledge of regulated environments or data compliance frameworks Experience building AI programs in mid‑sized or scaling organizations What Success Looks Like Early delivery of a clear AI roadmap aligned to business priorities Deployment of initial high‑impact AI use cases within the first six months Measurable improvements in operational efficiency and data accuracy Establishment of a scalable foundation for continued AI innovation #J-18808-Ljbffr Blue Signal Search