AI Solutions Architect

Adverity•New York, NY
•$130,000 - $160,000

About The Position

The AI Solutions Architect, internally titled Forward Deployed Engineer, works at the intersection of AI, marketing data engineering, and enterprise consulting. The role is embedded with global advertisers, agencies, and enterprise clients to lead technical discovery, design custom onboarding architectures, build AI automations, and turn discoveries from three-month product trials into long-term commercial adoption. The role serves as a technical expert, AI practitioner, and strategic consultant supporting adoption of Atlas, the company’s AI product. It involves helping customers reach value quickly, understanding their architectures and use cases, advising on product functionality, and collaborating with internal teams to deliver tailored customer solutions.

Requirements

  • Previous experience in Solutions Consulting, Forward Deployed Engineering, Technical Account Management, Professional Services, or Technical Implementation within a SaaS company or media agency.
  • Strong foundation in digital marketing, including ad tech, attribution models, agency workflows, or performance marketing data.
  • Comfort working with SaaS platforms, REST APIs, dataset mapping, and data automation tools.
  • Demonstrated track record of using AI tools to build workflows, summarize insights, or code automations.
  • Bachelor’s degree in an analytical, technical, or business discipline.

Responsibilities

  • Act as an embedded domain expert during onboarding of Atlas and help customers reach value quickly.
  • Partner with sales, product, engineering, and account management to accelerate customer adoption and value.
  • Learn each customer’s architecture and use case and support adoption of Atlas across the full platform.
  • Serve as a strategic, day-to-day customer partner, guiding customers on product functionality and collaborating with product and engineering teams.
  • Scope and deliver client-specific requirements, provide tailored demos, and conduct hands-on training to help customers query their marketing data.
  • Take a consultative approach to drive platform adoption, retention, and growth.
  • Lead technical discovery and design custom onboarding architectures.
  • Build AI automations.
  • Convert discoveries from three-month product trials into long-term commercial adoption.
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