[Remote] Solutions Engineer (Enterprise Suite)
Note: The job is a remote job and is open to candidates in USA. CentralSquare Technologies is a trusted provider of public sector software in North America, committed to supporting agencies with impactful software solutions. The Solutions Engineer role involves integrating AI innovations into the Public Safety Enterprise Suite, engaging with customers to gather feedback, and implementing improvements while maintaining strong relationships with stakeholders.
Responsibilities
- Contribute directly to the ongoing development of the Centerline AI platform, delivering new features, integrating AI capabilities, and improving performance
- Triage customer requests and implement solutions directly, escalating heavier AI architecture work to the AI Engineering team
- Integrate AI Engineer output directly into the product, maintain existing integrations, and build new interfaces and embedded components to support additional AI capabilities
- Act as the primary technical contact for assigned customers, providing frontline engineering support and reducing friction around traditional support processes
- Rapidly deploy customer feedback into the product—shipping fixes, enhancements, and integrations with quick turnarounds
- Deliver on-site and virtual workshops and demos, showcasing new AI capabilities, gathering direct feedback, and potentially implementing changes on-site with the agency
- Serve as the public-facing technical representative of Centerline AI at conferences, roadshows, workshops, and customer visits
- Maintain strong relationships with customer stakeholders, understanding their operational challenges and translating them into actionable engineering work
- Coordinate with the Foundation team on environment deployments and configuration changes. Infrastructure is owned by the Foundation team; the SE focuses on product-level work
- Work closely with AI Engineers to understand new capabilities being built, then wire them into the product and maintain those integration points
- Identify, scope, and document larger technical requirements before handing them off to the AI Engineering or Foundation teams
- Work with Product Management to help organize sprint planning, maintain backlog clarity, and prepare relevant items for development cycles
- Identify, scope, and document larger project requirements before handing them off to the AI Engineering team
- Capture field insights and customer workflows that inform product roadmap decisions and long-term platform design
Skills
- Strong proficiency in modern software development, ideally including: wpf/.net 4.8, .net maui, Angular
- Familiarity with AI ecosystems: Foundation models, generative AI, LLM workflows, Prompt engineering, retrieval systems, embeddings, Agentic frameworks and AI evaluation methods, Cursor, Kiro, Claude Code, etc
- Basic AWS familiarity: General understanding of cloud services, APIs, and how web applications are deployed. Deep infrastructure knowledge is not required
- Familiarity with development workflows: Basic CI/CD understanding, version control, and comfort working in a fast-moving codebase
- Comfortable serving as the technical face of a platform
- Strong communication skills and the ability to explain complex systems to non-technical audiences
- Proven history of customer engagement, support, or technical consulting
- Willingness to travel regularly for on-site customer workshops, conferences, and field engagements
- Thrives in fast-moving, ambiguous environments
- Highly autonomous—able to own tasks end-to-end
- Strong problem-solving instincts and bias toward action
- Balances speed of execution with reliability and quality
- Enjoys 'wearing multiple hats' across engineering, product, and customer engagement
- Experience with GovCloud is a plus
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