AI Solutions Engineer

Role Overview

• Lead end-to-end technical implementations of our AI tools (both SaaS and on-premise solutions) for enterprise customers
• Design and execute custom integrations with customer systems, APIs, databases, and existing workflows
• Conduct technical discovery sessions to understand customer infrastructure, requirements, and business objectives
• Build proof-of-concepts and pilot programs to demonstrate value and accelerate customer adoption
• Troubleshoot complex technical issues and provide rapid solutions to maintain customer satisfaction
• Partner with Sales teams to provide technical expertise during the sales cycle, including product demonstrations and solution design
• Respond to RFPs, technical due diligence questionnaires, and security/compliance inquiries
• Serve as the primary technical point of contact for key enterprise accounts during onboarding
• Train customer teams on product capabilities, features, optimal usage patterns, and best practices
• Create technical documentation, integration guides, API documentation, and best practice resources
• Work with internal departments, vendors, and business partners to coordinate problem-solving effectively
• Maintain deep expertise across our full suite of AI tools and stay current with product updates and industry trends
• Gather and synthesize customer feedback to inform product development priorities and roadmap
• Share customer insights, use cases, and technical learnings with internal Product and Engineering teams
• Demonstrate personal responsibility and accountability by meeting project timelines and customer commitments
• Effectively excel in a remote work environment through active participation in team meetings, standups, and cross-functional collaboration

Requirements

• Minimum of 3 years of experience in software engineering, solutions engineering, technical consulting, or similar customer-facing technical role
• Proven track record of working directly with enterprise customers in a technical capacity
• Experience with APIs, webhooks, database systems, and enterprise software integrations
• Excellent communication skills, both verbally and in writing, with ability to explain complex technical concepts to technical and non-technical audiences
• Strong problem-solving skills and creative approach to customer challenges
• Comfort working in a fast-paced, deadline-oriented environment with changing priorities
• Proficiency in Node.js, TypeScript, React, and Python
• Ability to read, write, and modify code across our full technology stack
• Experience with Azure cloud infrastructure and services
• Strong understanding of AI/ML concepts and applications; general familiarity with capabilities of major AI platforms (Anthropic Claude, Google Gemini, OpenAI GPT models)
• Experience with version control systems (Git), CI/CD pipelines, and modern development practices
• Understanding of enterprise security, compliance requirements, and data governance
• Proficiency in technical documentation and diagramming tools
• Experience with REST APIs, GraphQL, and web service integrations
• Previous experience in a forward deployed engineer, solutions engineer, or field engineer role at an AI/SaaS company (Bonus)
• Experience implementing AI/ML solutions for enterprise customers (Bonus)
• Background in healthcare technology or familiarity with healthcare compliance (HIPAA, SOC 2) (Bonus)
• Experience with data pipelines, ETL processes, and data integration tools (Bonus)
• Familiarity with Azure OpenAI Service or other Azure AI services (Bonus)

Tech Stack

• Azure
• Cloud
• ETL
• GraphQL
• JavaScript
• Node.js
• Python
• React
• TypeScript

Benefits

• Competitive salary
• Comprehensive health, dental, and vision insurance as well as life and disability
• Retirement savings plan with company match
• Generous time off/vacation
• Professional development opportunities
• Flexible work environment