AI Solutions Engineer
Indexed description
Roles and 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
Customer Implementation & Integration
Technical Sales & Pre-Sales Support
Customer Success & Training
Product Expertise & Collaboration
Experience and Skills Desired
- 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
- 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
Required Experience
Technical Skills
Bonus Qualifications
Telecommuting Requirements
- This is a remote position. Our whole company works remotely. Company headquarters are in Dallas, Texas.
- Company business hours are weekdays 9-5 CST. We will only consider candidates in the United States who reside in the CST or EST time zones.
- Required to have a dedicated work area established that is separate from other living areas and provides information privacy.
- Ability to keep all company sensitive documents secure.
- Must live in a location that receives an existing high-speed internet connection/service.
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
Originally posted on Himalayas
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