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Senior Solutions Engineer
BWEUnited Statesfull_timeVerifiedPosted 18 Sept 2025
About the role
The role of Senior Solutions Engineer is critical to BWE’s success. You design and deliver enterprise solutions that automate work, connect systems, and simplify processes. We rely on you to translate business needs into technology-enabled solutions and collaborate across teams to deliver measurable value. Your work ensures our platforms are optimized, our integrations are seamless, and our business is equipped for rapid innovation and responsible AI adoption.
Responsibilities:
● Extend and customize enterprise platforms (e.g., Salesforce, Workday, Microsoft Power Platform) through APIs, code, and integrations while evaluating AI-powered development tools and automation opportunities.
● Design, develop, and maintain full-stack applications and automations that improve internal operations and workflows with focus on scalable, maintainable code and user- centered design.
● Collaborate with business stakeholders to capture requirements, translate them into technical solutions, and deliver clear documentation and training.
● Participate in code reviews, documentation, and internal demos to ensure transparency and maintainability following established quality standards and best practices.
● Cross-train with peers across languages and platforms to support a flexible and adaptable team including exposure to AI development tools and low-code/no-code platforms.
● Maintain and optimize system integrations across cloud and on-prem applications with focus on performance, reliability, and security.
● Partner with “citizen developers” to guide low-code/no-code solutions, ensuring maintainability, governance, and alignment with enterprise standards.
● Integrate AI services (Azure AI, OpenAI APIs, Microsoft Copilot, and other third-party tools) into workflows, automations, and enterprise platforms.
● Implement AI engineering practices such as prompt engineering, API integration, testing/validation of AI solutions, and adherence to BWE’s AI governance standards.
● Develop reusable AI-enabled solution components (connectors, templates, workflows) that accelerate adoption across business functions.
● Troubleshoot, debug, and resolve integration or workflow issues, using systematic problem-solving approaches and documenting root causes.
● Contribute to knowledge sharing by creating internal documentation, running demos, and mentoring peers in both integration practices and safe AI adoption.
Minimum Qualifications:
● 5+ years of experience as a Solutions Engineer or similar role.
● Bachelor’s degree in Computer Science, Information Systems, or related field
Responsibilities:
● Extend and customize enterprise platforms (e.g., Salesforce, Workday, Microsoft Power Platform) through APIs, code, and integrations while evaluating AI-powered development tools and automation opportunities.
● Design, develop, and maintain full-stack applications and automations that improve internal operations and workflows with focus on scalable, maintainable code and user- centered design.
● Collaborate with business stakeholders to capture requirements, translate them into technical solutions, and deliver clear documentation and training.
● Participate in code reviews, documentation, and internal demos to ensure transparency and maintainability following established quality standards and best practices.
● Cross-train with peers across languages and platforms to support a flexible and adaptable team including exposure to AI development tools and low-code/no-code platforms.
● Maintain and optimize system integrations across cloud and on-prem applications with focus on performance, reliability, and security.
● Partner with “citizen developers” to guide low-code/no-code solutions, ensuring maintainability, governance, and alignment with enterprise standards.
● Integrate AI services (Azure AI, OpenAI APIs, Microsoft Copilot, and other third-party tools) into workflows, automations, and enterprise platforms.
● Implement AI engineering practices such as prompt engineering, API integration, testing/validation of AI solutions, and adherence to BWE’s AI governance standards.
● Develop reusable AI-enabled solution components (connectors, templates, workflows) that accelerate adoption across business functions.
● Troubleshoot, debug, and resolve integration or workflow issues, using systematic problem-solving approaches and documenting root causes.
● Contribute to knowledge sharing by creating internal documentation, running demos, and mentoring peers in both integration practices and safe AI adoption.
Minimum Qualifications:
● 5+ years of experience as a Solutions Engineer or similar role.
● Bachelor’s degree in Computer Science, Information Systems, or related field
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