Forward Deployed Engineer Vision AI & Multimodal Systems

Role Overview: You are a Forward Deployed Engineer (FDE) operating at the intersection of applied AI, customer engagement, and real-world deployment. Your focus will be on helping enterprises adopt, integrate, and scale Vision AI and multimodal systems by working closely with customers to understand business problems and translating them into AI-driven solutions. Key Responsibilities: - Partner with enterprise customers to translate business challenges into Vision AI and multimodal solution approaches. - Act as a trusted advisor across the lifecyclefrom discovery to deployment. - Clearly communicate AI capabilities and limitations to stakeholders. - Demonstrate strong conceptual understanding of Vision AI systems and guide customers on use cases and approaches. - Evaluate solution effectiveness based on business impact. - Lead deployment and integration of Vision AI solutions with enterprise systems such as ERP, CRM, and IoT platforms. - Support deployment across cloud and edge environments. - Solve real-world challenges including data quality issues and performance bottlenecks. - Translate field learnings into product insights and influence product roadmap decisions. - Build reusable deployment templates and best practices for enterprise AI adoption. Qualification Required: - 48 years of experience in AI/ML, computer vision, or related domains. - Strong understanding of Vision AI / Computer Vision concepts. - Experience in enterprise AI deployments and real-world implementations. - Familiarity with AI platforms, APIs, and system integrations. - Knowledge of cloud platforms (AWS/Azure/GCP) and edge environments is preferred. - Strong experience in client-facing roles and stakeholder management. - Ability to explain AI solutions in business-friendly terms. - Excellent problem-solving, communication, and analytical skills. Additional Details: The company values a customer-first mindset, strong ownership and accountability, ability to work in ambiguous environments, and capability to bridge business and technology effectively. Role Overview: You are a Forward Deployed Engineer (FDE) operating at the intersection of applied AI, customer engagement, and real-world deployment. Your focus will be on helping enterprises adopt, integrate, and scale Vision AI and multimodal systems by working closely with customers to understand business problems and translating them into AI-driven solutions. Key Responsibilities: - Partner with enterprise customers to translate business challenges into Vision AI and multimodal solution approaches. - Act as a trusted advisor across the lifecyclefrom discovery to deployment. - Clearly communicate AI capabilities and limitations to stakeholders. - Demonstrate strong conceptual understanding of Vision AI systems and guide customers on use cases and approaches. - Evaluate solution effectiveness based on business impact. - Lead deployment and integration of Vision AI solutions with enterprise systems such as ERP, CRM, and IoT platforms. - Support deployment across cloud and edge environments. - Solve real-world challenges including data quality issues and performance bottlenecks. - Translate field learnings into product insights and influence product roadmap decisions. - Build reusable deployment templates and best practices for enterprise AI adoption. Qualification Required: - 48 years of experience in AI/ML, computer vision, or related domains. - Strong understanding of Vision AI / Computer Vision concepts. - Experience in enterprise AI deployments and real-world implementations. - Familiarity with AI platforms, APIs, and system integrations. - Knowledge of cloud platforms (AWS/Azure/GCP) and edge environments is preferred. - Strong experience in client-facing roles and stakeholder management. - Ability to explain AI solutions in business-friendly terms. - Excellent problem-solving, communication, and analytical skills. Additional Details: The company values a customer-first mindset, strong ownership and accountability, ability to work in ambiguous environments, and capability to bridge business and technology effectively.