AI Solutions Engineer

Reindeer

. Engage with customers post-close to understand workflows, operational processes, and deployment requirements .

Posted 10/7/2026full-timeNew York City • New York • United StatesSeniorLead💰 $180,000 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in implementing AI-powered solutions, managing end-to-end deployment, and ensuring customer adoption and success. Proficient in translating business needs into technical solutions while collaborating with cross-functional teams and managing enterprise system integrations.

Highest-signal resume keywords

Implementation EngineeringAI Concepts and ApplicationsEnterprise System IntegrationsStakeholder ManagementProcess Mining

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytical SkillsTechnical ConsultingWorkflow MappingProgramming SkillsOperational Analytics

Soft Skills

Excellent CommunicationCustomer Engagement

Tools & Technologies

Cloud EnvironmentsAI ToolsEnterprise Platforms

Industry Keywords

Financial ServicesB2B Enterprise ClientsPost-Sale Customer Lifecycle

Tech Stack

Tools & technologies

CloudERP

About the role

Key responsibilities & impact

Engage with customers post-close to understand workflows, operational processes, and deployment requirements
Translate customer findings into clear implementation plans for AI-powered solutions
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
Own end-to-end solution deployment and ensure models meet performance and business value expectations
Define success metrics and drive adoption post-launch
Lead integrations with enterprise systems such as Finance, ERP, and email platforms
Ensure integrations are scalable and secure
Guide customers through security, compliance, and IT approval processes
Plan and execute rollout to drive smooth implementation and adoption
Help define and evolve the delivery function as the company grows
Partner closely with founders, Product, and R&D to deploy and scale complex AI-driven enterprise solutions
Own the technical side of the post-sale customer journey from deployment and integration through adoption, expansion, and ongoing success

Requirements

What you’ll need

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
Experience with process mining, workflow mapping, or operational analytics
Familiarity with enterprise platforms
Financial services industry experience
At least 3 years of experience working with B2B enterprise clients
Basic to advanced programming skills, including the ability to read and understand code
Authorization to work in the country in which applying