AI Engineer Lead
hace 5 días
Cornellà de Llobregat
Overview About the Role We are looking for a seasoned professional to lead solution architecture and customer success for our image recognition–driven retail execution platform, across European markets. This is a hybrid role combining technical solution ownership with strategic customer engagement, ensuring successful deployments, adoption, and continuous value realization. The ideal candidate will have strong experience in ML/Data Science–driven products, enterprise solution design, and customer-facing program management. Experience in retail execution and image recognition is highly preferred. Responsibilities Solution Architecture & Delivery - Own the end-to-end solution architecture for Solution deployments across European markets. - Translate business requirements into scalable AI/ML-enabled solution designs. - Work closely with AI/ML, data science, engineering, and product teams to ensure technical feasibility and performance. - Define and maintain integration architecture with client systems (e.g., Data platforms, sales systems, analytics platforms). - Lead technical discussions, solution reviews, and architecture approvals with client stakeholders. - Ensure adherence to security, privacy, and compliance standards across markets. Customer Success & Stakeholder Management - Act as the primary point of contact for key European clients. - Drive onboarding, adoption, and expansion of the PEPIRIS solution. - Monitor customer KPIs and ensure delivery against agreed business outcomes. - Lead executive reviews, roadmap discussions, and value realization sessions. - Identify opportunities for upsell, cross-sell, and solution enhancements. - Manage escalations and coordinate with internal teams to ensure timely resolution. Program & Operations Management - Oversee multiple deployments across markets, ensuring timely and high-quality delivery. - Coordinate with cross-functional teams: product, AI, engineering, and regional business teams. - Drive continuous improvement in solution performance, model accuracy, and operational processes. - Establish best practices, playbooks, and reusable solution components. Qualifications Required Qualifications • 10–14 years of experience in solution architecture, program management, or customer success roles. • Proven experience delivering ML, AI, or data science–driven solutions. • Strong background in enterprise system integrations and solution design. • Experience managing customer-facing technical engagements. • Excellent stakeholder management and communication skills. • Experience working in cross-functional, global teams. Preferred Qualifications • Experience in retail execution, CPG, or field sales technology. • Hands-on exposure to image recognition or computer vision solutions. • Experience with Trax Retail or similar retail analytics platforms. • Familiarity with cloud platforms (AWS, Azure, or GCP) and data pipelines. • Experience managing multi-country or European market deployments. Key Competencies • Solution design and architecture • Customer success and relationship management • AI/ML product understanding • Cross-functional leadership • Strategic thinking and problem solving • Executive communication What We Offer • Opportunity to work on a cutting-edge AI-driven retail solution across Europe. • High-visibility role with direct impact on customer success and product growth. • Collaborative, global, and innovation-driven environment. • Competitive compensation and benefits. Required Qualifications • 10–14 years of experience in solution architecture, program management, or customer success roles. • Proven experience delivering ML, AI, or data science–driven solutions. • Strong background in enterprise system integrations and solution design. • Experience managing customer-facing technical engagements. • Excellent stakeholder management and communication skills. • Experience working in cross-functional, global teams. Preferred Qualifications • Experience in retail execution, CPG, or field sales technology. • Hands-on exposure to image recognition or computer vision solutions. • Experience with Trax Retail or similar retail analytics platforms. • Familiarity with cloud platforms (AWS, Azure, or GCP) and data pipelines. • Experience managing multi-country or European market deployments. Key Competencies • Solution design and architecture • Customer success and relationship management • AI/ML product understanding • Cross-functional leadership • Strategic thinking and problem solving • Executive communication What We Offer • Opportunity to work on a cutting-edge AI-driven retail solution across Europe. • High-visibility role with direct impact on customer success and product growth. • Collaborative, global, and innovation-driven environment. • Competitive compensation and benefits. Solution Architecture & Delivery - Own the end-to-end solution architecture for Solution deployments across European markets. - Translate business requirements into scalable AI/ML-enabled solution designs. - Work closely with AI/ML, data science, engineering, and product teams to ensure technical feasibility and performance. - Define and maintain integration architecture with client systems (e.g., Data platforms, sales systems, analytics platforms). - Lead technical discussions, solution reviews, and architecture approvals with client stakeholders. - Ensure adherence to security, privacy, and compliance standards across markets. Customer Success & Stakeholder Management - Act as the primary point of contact for key European clients. - Drive onboarding, adoption, and expansion of the PEPIRIS solution. - Monitor customer KPIs and ensure delivery against agreed business outcomes. - Lead executive reviews, roadmap discussions, and value realization sessions. - Identify opportunities for upsell, cross-sell, and solution enhancements. - Manage escalations and coordinate with internal teams to ensure timely resolution. Program & Operations Management - Oversee multiple deployments across markets, ensuring timely and high-quality delivery. - Coordinate with cross-functional teams: product, AI, engineering, and regional business teams. - Drive continuous improvement in solution performance, model accuracy, and operational processes. - Establish best practices, playbooks, and reusable solution components.