Role Description As a Machine Vision Solutions Engineer, you will lead the installation, integration, and support of advanced industrial systems, including machine vision systems, RFID solutions, and emerging automation technologies. This role requires a highly skilled, customer-facing professional with strong technical expertise in electrical, mechanical, and networking systems. You will serve as a subject matter expert and ensure successful deployments in fast-paced, high-demand environments. Responsible for developing and managing complex projects across multiple locations. Key Responsibilities - System Installation & Integration: - Lead installation, setup, and configuration of advanced systems such as machine vision tunnels, RFID systems, conveyors, and robotics. - Technical Leadership: - Provide expert guidance on installation best practices, system calibration, and troubleshooting. - Mentor and train junior technicians and customer teams on system operation and maintenance. - Customer Engagement: - Act as the primary technical contact during installations, ensuring clear communication and exceptional customer service. - Conduct site assessments to verify infrastructure readiness (power, networking, environmental conditions). - Troubleshooting & Support: - Diagnose and resolve complex technical issues during and after installation. - Perform preventive maintenance and create detailed service reports. - Documentation & Compliance: - Develop and maintain installation guides, wiring diagrams, and calibration reports. - Ensure compliance with safety standards (Lockout-Tagout, Hazmat, Industrial Safety). Qualifications - Technical four-year degree, but experience in lieu of degree will be considered. - 5+ years in field service or installation roles, with advanced experience in: - Machine vision systems (Cognex, Keyence, Basler, Matrox, Teledyne/FLIR). - Time management and ability to meet deadlines. - Strong organizational skills and ability to multitask. - Problem-solving and decision making. - Proactivity and self-direction. - Demonstrated proficiency in Microsoft Suite, specifically Outlook, Word, Excel, and Teams. Requirements - Travel may be required for company events, training, and customer visits. Benefits - Equal Opportunity Employer who fully and actively supports equal access for all people regardless of Race, Color, Religion, Gender, Age, National Origin, Veteran Status, Disability, Genetic Information or Testing, Family and Medical Leave, Sexual Orientation and Gender Identity or Expression.

• help deliver and support innovative solutions for next-generation Data Center Out-of-Band Management (DCOM) networks built on Passive Optical Networking (PON) technology. • work closely with cross-functional teams—including product management, engineering, and customer deployment teams—to ensure that Ciena’s DCOM PON solutions deliver high performance, reliability, and operational simplicity. • Gather and analyze requirements for next-generation routing and switching software solutions supporting 10Gbps PON network technologies and applications for Layer 2 and Layer 3 data networking across a wide range of switch and host platforms. • Provide technical expertise and solution guidance for Ciena’s SAOS embedded PON software and platforms. • Work closely with customers and internal stakeholders to translate networking requirements into scalable and operationally efficient solutions. • Collaborate across the entire software and solution lifecycle, including requirements analysis, integration, verification, solution validation, and customer support. • Support deployment and operational readiness of PON-based data center management networks. • Proactively identifying and resolving technical challenges through solution analysis, recommendation, and execution.

• Collaborate with the sales team and the Customer Solution Consultant to identify the customer requirements, articulate a product set or solution to meet those requirements, evangelize the proposed solution, and adjust the solution as necessary for the customer. • Lead and drive the technical aspects of the sale to include the development of such artifacts as: API integration architecture, application description, system flow diagrams, input/outputs, connectivity, project schedule, reporting, estimates and SLAs. • Validate the product, service design, and/or solution is relevant, the right fit, and complete for the customer. • Develop and present technical architecture and/or product/solution design solutions to the customer. • Design payment acceptance solutions spanning card processing and ACH/eCheck, including funding, settlement, reporting, and dispute workflows. • Lead API integration discussions with ISV partners and merchants covering REST APIs, webhooks, hosted payment pages, and mobile SDKs; build and deliver sandbox demonstrations and proofs of concept. • Position PCI-DSS scope considerations and NACHA compliance requirements as part of the proposed solution design. • Teach customers unique insights about how our products can help them compete in the marketplace and deliver ROI, tailor messaging to each decision-maker across the organization and influence the sales process while overcoming customers’ objections. • Develop advocates and relationships across the customer organization that can assist with building consensus on behalf of CSG. • Educate the customer on the value-based benefit, scalability, story, ROI, and environment configuration of the solution. • Ensure our customers/prospects understand the nature of our complicated products and services by translating our terminology into theirs. • May work with other lesser experienced team members on proper goal setting, work prioritization, product training, and presentation techniques. • May assist with putting together RFPs/RFIs. Overall, serve as a mentor to new members of the team. • Collaborate with the Bid Management Team, Legal Team, and Partnerships Team for any NDAs, proposals, SOWs, MSAs, and Reseller agreements as requested. • Alert the sales team to potential risk to deal closure and develop solutions to mitigate risk. • Meet or exceed assigned productivity while maintaining a high level of customer satisfaction. • Pursue both new business and additional business development opportunities within target accounts regarding product enhancements or initiatives. • Track economic and industry trends as well as competitive threats and understand its implications on customer business with both existing and new target accounts. • Advise and educate colleagues on what may integrate with our product portfolio to provide a more comprehensive solution to match the business requirements. • Travel domestically and/or internationally up to 20%, as necessary.

• Review and analyse internal business processes, customer interactions, and operational workflows to identify opportunities for AI-driven automation, efficiency improvements, and enhanced customer experiences. • Design and develop AI solutions that address operational challenges, with consideration for how they can be standardized, packaged, and deployed across multiple customers and industries. • Work closely with stakeholders to gather requirements, understand business needs, and translate them into scalable AI applications and workflows. • Evaluate the performance of deployed AI solutions using productivity, service, and customer experience metrics, continuously refining outcomes. • Identify repeatable business challenges and develop reusable AI frameworks, tools, and integrations that contribute to the company's AI solutions portfolio. • Contribute to the development of commercial AI products by transforming successful internal solutions into customer-ready offerings. • Build and maintain secure, high-performance APIs to support AI integrations and business applications. • Develop intuitive, responsive front-end interfaces that enhance the user experience of AI-powered applications. • Integrate large language models (LLMs) such as OpenAI, Anthropic, and other AI platforms into production-ready solutions. • Implement Model Context Protocol (MCP) or similar integration patterns to enable seamless AI workflows and tool connectivity. • Design and implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources. • Build, manage, and optimize AI knowledge bases and vector databases such as Pinecone, Weaviate, or similar platforms. • Integrate AI capabilities into existing business systems, including CRM platforms and internal applications. • Develop AI workflows and agent-based solutions using orchestration frameworks such as LangChain, Semantic Kernel, or equivalent technologies. • Deploy, monitor, and optimize AI applications using AWS infrastructure and cloud services. • Rapidly prototype AI solutions, gather stakeholder feedback, and iterate to improve functionality and performance. • Collaborate with cross-functional teams to deliver scalable, production-ready AI solutions.