AI Solutions Engineer (Germany)

Reindeer; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Reindeer in United States is seeking a senior Solutions Engineer to own the post‑sale customer journey, from deployment through adoption and continued value realization.

You will partner with customers, R&D, and product to deploy AI‑driven enterprise solutions, ensuring secure, scalable integrations and measurable outcomes. This hands‑on role suits someone who thrives in fast‑moving environments and can translate business needs into technical implementations.

Qualifications

• 7+ years in implementation, Solutions Engineering, or professional services.
• Strong analytical skills translating business needs into technical solutions.
• Deep understanding of AI concepts and enterprise applications.
• Experience with cloud environments and system integrations.

Responsibilities

• Lead post‑sale deployment, from onboarding to adoption and value realization.
• Design AI workflows, assess data readiness, and integrate AI components.
• Define success metrics and drive customer adoption post‑launch.
• Ensure security, compliance, and scalable integrations with enterprise systems.

Skills

Post-sale

Enterprise AI

Cloud deployments

Data & workflow

Stakeholder mgmt

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 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