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# AI Solutions Engineer (San Fransisco)

- **Company:** REINDEER, INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $180,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Email Production, Solution Deployment Descriptor, Enterprise Software Applications, Cloud Platform System, Automation Anywhere
- **Published:** July 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6b1a37e24f8d53b2

## About the Role

* 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

## Description

We are a well-funded, early-stage startup hiring 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., 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.


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