AI Solutions Engineer

Job Description:

Seniority

5 -​ 8 years of experience in a customer-​facing technical role,​ such as solutions engineering or forward deployed engineering.​

Work experience

Experience in both a pre-​sales (solution engineering) and post-​sales/implementation context

Has built and deployed AI agent workflows in a client-​facing context

Experience working with finance or insurance clients -​ would understand the ICP and can navigate ambiguous requirements

Education

Technical degree from a top 30 university IF experience is mostly at lesser-​known startups

Hard skills

Daily coding fluency in Python,​ including writing custom integrations,​ pulling from APIs/webhooks,​ and manipulating data schemas.​ Role will be 65% coding,​ 35% customer facing.​

JSON,​ REST APIs,​ and integration work is a core part of the role

Familiarity with AI agent architecture and LLM tooling

Soft skills

First-​principles thinker:​ Ability to translate ambiguous,​ incomplete client requirements into a clear working solution

Miscellaneous

Based in or willing to relocate to New York City;​ hybrid in office (Mon-​Thu to start)

Traits to avoid

Long tenure (2+ years) at large tech companies (e.​g.​,​ FAANG).​

Long tenure at large consultancies (e.​g.​,​ Accenture,​ IBM,​ Capgemini).​

Pure solutions architects who have drifted too far from hands-​on building -​ need someone who can both scope and build

Candidates who require visa sponsorship.​

About this role

We are looking for an AI Solutions Engineer with 2-8 years of experience to join our go-to-market team in New York. You'll be a key player in bridging the gap between our clients' needs and our AI platform's capabilities, spanning the full client engagement from pre-sales to post-sales implementation. This is a hands-on role for someone who thrives in a fast-paced startup environment, enjoys solving complex problems, and is skilled at translating ambiguous client requests into tangible, scalable AI solutions. You will have a direct impact on our product's direction and our company's rapid growth.

What will you be doing?

• Partner with Account Executives to run technical discovery, design solutions, and lead POCs to close complex enterprise deals.
• Build and implement agentic AI workflows within the V7 Go platform, writing custom Python code and integrations to solve unique customer problems.
• Own the post-sales implementation and onboarding process, ensuring customers achieve value quickly and acting as their primary technical contact.
• Translate ambiguous client problems into clear statements of work and architect solutions that are reliable, scalable, and future-proof.
• Collaborate directly with product and engineering teams, providing customer feedback to shape the future of the V7 Go platform.