AI Solutions Engineer

Evry Health • Fort Worth, TX

7d • $115,000 - $140,000 • Remote

About The Position

Evry Health is seeking an experienced AI Solutions Engineer to join our team. This role is crucial for leading technical implementations of our AI tools, designing custom integrations, and providing technical expertise throughout the sales cycle and customer onboarding process. You will be responsible for ensuring successful customer adoption, troubleshooting complex issues, and collaborating with internal teams to drive product innovation. The ideal candidate will have a strong background in software engineering, solutions engineering, and a deep understanding of AI/ML concepts, with a proven ability to work effectively in a remote, fast-paced environment.

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
• Must live in a location that receives an existing high-speed internet connection/service.

Nice To Haves

• Previous experience in a forward deployed engineer, solutions engineer, or field engineer role at an AI/SaaS company
• Experience implementing AI/ML solutions for enterprise customers
• Background in healthcare technology or familiarity with healthcare compliance (HIPAA, SOC 2)
• Experience with data pipelines, ETL processes, and data integration tools
• Familiarity with Azure OpenAI Service or other Azure AI services

Responsibilities

• 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed