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Reindeer AI is 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.
As an AI Solutions Engineer, you will own the technical side of the post-sale customer journey, from deployment and integration through adoption, expansion, and ongoing success. This is a hands-on, technically deep role perfect for builders who thrive in fast-moving environments and enjoy making things work in the real world.
Your responsibilities include:
• 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.
You will help define how the delivery function evolves as the company grows, partnering closely with founders, Product, and R&D.
REQUIREMENTS:
• 7+ years of experience in Implementation Engineering, Solutions Engineering, Technical Consulting, Professional Services, or similar post-sale customer-facing role
• Strong analytical skills with 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
