Senior Solutions Engineer delivering full stack solutions to automate processes at BWE. Collaborating across teams to ensure platforms are optimized for AI adoption and rapid innovation.
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.
Requirements
5+ years of experience as a Solutions Engineer or similar role
Bachelor’s degree in Computer Science, Information Systems, or related field - or equivalent hands-on experience
Strong experience configuring and integrating enterprise applications such as Salesforce, Workday, and Microsoft Power Platform
Proficiency with APIs, middleware, and integration frameworks to connect systems and enable data flow
Familiarity with AI/ML concepts and experience embedding AI services into enterprise workflows (e.g., Copilot, Azure AI, LLM APIs)
Demonstrated ability to translate business needs into technical solutions from ideation through delivery
Strong understanding of data modeling, reporting tools, workflow automation, and security configuration
Experience working in Agile/Scrum delivery frameworks, with a focus on adaptability and continuous improvement
Excellent problem-solving, collaboration, and communication skills
Ability to work in a fast paced Agile/Scrum delivery framework.
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