AI Solutions Engineer partnering with various corporate teams to surface automation opportunities and build AI - powered tools. This role involves coding and collaboration with business stakeholders.
About the role
- Solutions Engineer role involves designing and implementing integrations for clients using low-code solutions. It requires technical expertise to bridge customer needs with internal capabilities.
Responsibilities
- Design and implement customer integrations using a low-code platform.
- Act as the technical bridge between clients and internal teams to deliver smooth, scalable solutions.
- Lead technical onboarding and integration projects for SMB and enterprise clients, ensuring solutions follow company standards.
- Configure and manage integrations using drag-and-drop tools, including data transformations, webhook handling, and workflow mapping.
- Collaborate with non-technical customer contacts and internal teams to translate requirements into scalable technical solutions.
- Troubleshoot integration issues, manage error handling, and maintain reliable, repeatable processes.
Requirements
- Experience with low-code or integration platforms (e.g., MuleSoft, Logic Apps, or similar).
- Strong understanding of integration patterns, data formats (XML, EDI, JSON), and HTTP-based communication.
- Technical background in engineering or development; while not hands-on coding, this role requires comfort with technical concepts and discussions.
- Ability to confidently communicate with both technical and non-technical stakeholders, often serving as the most technical person in the room.
- Platform-agnostic mindset; experience with AWS, Azure, or similar cloud environments.
- Experience working in SaaS environments and supporting a range of client sizes is preferred.
- Ability to travel to the company’s Madison, WI location once per month for on-site collaboration.
Benefits
- U.S. work authorization required; no sponsorship available.
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