• Own the mechanical integration of camera + lens + lighting into customer automation machines • Review machine builder CAD (2D/3D) and sign off on designs that meet Overview.ai integration standards. • Provide direct, practical feedback to machine builders to improve designs before metal is cut • Specify integration requirements and best practices • Anticipate long-term failure modes and design them out • Own commissioning readiness: ensure mechanical design supports stable triggering, repeatable imaging, and rapid service • Support new line deployments and maintain/optimize systems already installed at customer sites • Diagnose issues that look “AI” but are actually mechanical/system integration problems • Train customer teams and machine builders on integration best practices and basic troubleshooting • Document field learnings and turn them into repeatable standards, checklists, and reference designs.

• Design and oversee the development of scalable generative AI systems and enterprise-grade AI platforms. Establish robust architectures that support model training, inference, monitoring, and lifecycle management in production environments. • Direct the selection, customization, and enhancement of state-of-the-art generative AI and large language models. • Develop and execute APIs, microservices, and integration frameworks to incorporate AI capabilities into enterprise applications. • Ensure that AI platforms meet stringent standards for performance, reliability, security, and scalability, while also adhering to data governance and privacy regulations. • Collaborate closely with product, engineering, and business teams to outline technical requirements and approaches to AI architecture. • Architect end-to-end pipelines for deploying and monitoring AI models, ensuring seamless integration with existing systems. • Guide architectural decisions for LLM applications, AI workflows, and distributed AI infrastructure. • Institute best practices for ethical AI development, including strategies to mitigate risks like model hallucinations, bias, and reliability challenges. • Provide technical mentorship and guidance to engineering teams, while contributing to the formulation of long-term technology strategies and the advancement of AI platforms.

• Own the technical pre-sales motion for assigned enterprise opportunities • Lead discovery workshops and deliver compelling product demonstrations • Design and deliver tailored solutions based on customer needs • Support customer proof-of-concepts (POCs) and pilots while managing timelines • Partner with Professional Services to shape implementation approach and scope

• Design and implement SAP Analytics Cloud • Connect to various data sources • Code the cloud application designer to develop logic in SAC • Configure data actions and multi actions • Work on positioning and enhancements