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AI Solutions Engineer (New York)

Join a well-funded startup as an AI Solutions Engineer to drive enterprise AI adoption and integration.

Location
New York
Compensation
$180k–$230k/yr
Level
senior
Type
full time

Posted by employer 3 days ago

First seen on Joblaze 3 days ago

Last verified on the company career page 1 day ago

Apply at Reindeer AI → Save job Scanned from reindeer.ai

Skills & Technologies

AI in the day-to-day

We deploy AI agents into real business environments to transform workflows.

Requirements

Experience
7+ years

Not disclosed in this posting: work arrangement, visa sponsorship.

Joblaze summary

In this role, the AI Solutions Engineer at Reindeer AI is responsible for managing the technical aspects of the customer journey after a sale, focusing on deployment, integration, and ensuring the success of AI-driven solutions. The position requires a strong background in implementation engineering and a deep understanding of AI applications, along with excellent analytical and communication skills. Ideal candidates will have over seven years of experience in customer-facing technical roles and thrive in a fast-paced startup environment. Reindeer AI is an early-stage company, emphasizing collaboration with founders and product teams to drive enterprise AI adoption.

Joblaze insights

Quick facts

What's the salary range?
Reindeer AI lists $180,000–$230,000 for this role.
How much experience is required?
At least 7 years of relevant experience for this AI Solutions Engineer (New York) role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI, AI/ML, Cloud.
What seniority level is this role?
Reindeer AI targets senior candidates for this position.
Is this full-time or contract?
Full-time for this AI Solutions Engineer (New York) role at Reindeer AI.

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.

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

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.

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