AI Solutions Engineer

Job description

We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact. We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in. We are a well-funded, early-stage startup, building our Founding **Solutions Engineering** team to help build and own our enterprise customer motion from the ground up. This role is perfect for a hands-on, technically deep builder who thrives in fast-moving environments, enjoys making things work in the real world, and partners closely with founders, Product, and R&D to deploy and scale complex, AI-driven enterprise solutions. You will own the technical side of the post-sale customer journey, from deployment and integration through adoption, expansion, and ongoing success, while helping define how our delivery function evolves as we grow. ## **Your Impact** **Customer Onboarding & Process Analysis** - Engage with customers post-close to understand workflows, operational processes, and deployment requirements. - Translate findings into clear implementation plans for AI-powered solutions. **Data, AI Models & Workflow Development** - Partner with customers to assess data readiness and gather inputs for AI workflows. - Configure and integrate AI components into tailored, AI-driven workflows. - Collaborate with R&D to close data gaps and extend product capabilities when needed. **Deployment & Proof of Value** - Own end-to-end solution deployment and ensure models meet performance and business value expectations. - Define success metrics and drive adoption post-launch. **Integration, Security & Rollout** - Lead integrations with enterprise systems (e.g., Finance, ERP, email platforms), ensuring scalability and security. - Guide customers through security, compliance, and IT approval processes. - Plan and execute rollout to drive smooth implementation and adoption. ## **What It Takes** - 7+ years of experience in Implementation Engineering, Solutions Engineering, Technical Consulting, Professional Services or a similar post-sale customer-facing role. - Strong analytical skills with the ability to translate business needs into technical solutions. - Strong understanding of AI concepts and their enterprise applications. - High adoption of modern AI tools and workflows. - Experience supporting deployments across cloud environments and enterprise system integrations. - Excellent communication and stakeholder management skills. - Demonstrated ability to manage solution delivery across the full post-sale customer lifecycle. ## **Nice to Have** - Experience with process mining, workflow mapping, or operational analytics - Familiarity with enterprise platforms - Financial services industry experience ## **Compensation** The expected salary for this role is $180,000 to $230,000 OTE. This is a good-faith estimate but does not include equity or other forms of compensation. Pay will be based on experience level, and those outside the salary band are welcome to apply.