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AI Solutions Engineer

Reindeer

Responsibilities

  • 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.

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

Preferred

  • Experience with process mining, workflow mapping, or operational analytics
  • Familiarity with enterprise platforms
  • Financial services industry experience

Your Impact

  • 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.

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.