[Hiring] AI Solutions Engineer @Reindeer

Role 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 are a well-funded, early-stage startup, building our 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.

Qualifications

• 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.