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SmartBug Media

AI Solutions Engineer

Posted 25 Days Ago
Remote
Hiring Remotely in United States
100K-125K Annually
Mid level
Remote
Hiring Remotely in United States
100K-125K Annually
Mid level
The AI Solutions Engineer builds AI-powered proof-of-concepts, integrates AI models into client workflows, and serves as an internal expert on AI in technology.
The summary above was generated by AI
SmartBug Media is the most decorated HubSpot agency, recognized as a leader in crafting digital solutions that empower organizations to thrive across the entire customer lifecycle. From marketing and sales to revenue operations, customer success, and e-commerce, we combine sound strategies, cutting-edge AI, and digital innovation to deliver solutions that de-risk the future and drive sustainable growth.

With a fully remote team of over 250 professionals, we excel at creating intelligent web and digital ecosystems—from corporate websites to complex web applications—seamlessly integrated with AI-powered solutions. By aligning SmartBug's expertise with our clients' unique business realities, we build scalable, innovative tools that become engines for growth, setting the course for long-term success.

The AI Solutions Engineer serves as the HubSpot AI Delivery team’s dedicated AI expert. This role focuses on building the next-gen AI features clients are asking for.

Key Responsibilities

  • Client POC Builder - Designs, builds, and deploys AI-powered proof-of-concepts (POCs) for clients (e.g., custom "guided selling" models, AISDR prototypes, call transcript analyzers, etc.)
  • Third-Party Integration - Integrates third-party LLMs (OpenAI, Anthropic, etc.) and AI models directly into client workflows
  • AI Authority - Partners with the Solutions Architect on the AI-specific components of the client's technical roadmap
  • In-house Subject Mater Expert - Serves as the internal Subject Matter Expert on the applied use of AI in sales and marketing technology
  • AI Asset Developer - Develops internal tools for the Innovation Lab, turning AI concepts into tangible assets

Required Skills & Experience

  • 4-6+ years of experience in a data science, ML engineering, or technical/sales engineering role.

Top Skills

AI
Anthropic
Hubspot
Ml
Openai

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