Join a well-funded startup as an AI Solutions Engineer to drive enterprise AI adoption and integration.
Posted by employer 1 day ago
First seen on Joblaze 15 hours ago
Last verified on the company career page 15 hours ago
What you'll build
Must have
Nice to have
AI in the day-to-day
We deploy AI agents into real business environments to transform workflows.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
The AI Solutions Engineer at Reindeer AI is responsible for managing the technical aspects of the post-sale customer journey, focusing on deploying and integrating AI solutions into enterprise workflows. This role requires a strong background in implementation engineering and a deep understanding of AI applications, particularly within traditional industries like finance and insurance. Ideal candidates will have over seven years of experience in customer-facing roles and possess excellent analytical and communication skills. Reindeer AI, an early-stage startup, emphasizes collaboration with founders and product teams to drive successful AI adoption.
Joblaze insights
Quick facts
From the original posting
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 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.
7+ years of experience in Implementation Engineering, Solutions Engineering, Technical Consulting, Professional Services or a similar post-sale customer-facing role.
Experience in the enterprise segment, specifically within the Israeli market, preferably in traditional industries such as financial services, insurance, and banking.
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.
Excellent Hebrew proficiency (daily client communications are in Hebrew)
Experience with process mining, workflow mapping, or operational analytics
Familiarity with enterprise platforms
Financial services industry experience