AI Solutions Engineer (Forward Deployed Engineer)

Daily Pay

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Minneapolis, MN
Salary
$136,000–$209,000 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k
This role $172k
$121k most similar roles pay here $236k

This role pays less than 53% of similar roles. Most pay $147,175–$217,875 — the shaded band above. At the midpoint, this role pays about $172k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About Daily Pay

DailyPay is an employee financial wellness platform that allows workers to access their earned wages before payday, helping employers improve retention and financial well-being for their employees. Industry: Financial Technology & Employee Benefits

Daily Pay currently has 4 open roles on FindRole.

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At a glance

TL;DR · AI Solutions Engineer (Forward Deployed Engineer)

AI Solutions Engineer (Forward Deployed Engineer) joins the Engineering organization to serve as a technical leader integrating AI into internal processes and workflows. This cross-functional role involves shadowing domain experts to identify bottlenecks, designing automation, and building custom scripts, API integrations, and durable agents. The engineer is responsible for developing evaluation frameworks, managing prompt and token optimization, monitoring operational costs, and ensuring data privacy. Key responsibilities include mentoring peers on AI literacy and translating complex machine learning concepts into business-friendly language for non-technical stakeholders. Candidates must possess over three years of software development experience with proficiency in Go or JavaScript, along with hands-on experience building applications with Large Language Models. The role requires expertise in managing agent design, context, and memory while integrating with platforms like Jira, GitHub, and Salesforce to solve internal business problems.

What you'll do

  • Shadow domain experts to identify workflow bottlenecks and pain points across different departments.
  • Design and ship automated solutions including MVPs, custom scripts, and API integrations.
  • Build and operate reliable AI workflows with integrated evaluation frameworks, guardrails, and observability.
  • Serve as the primary technical authority for non-technical teams regarding AI features and tools.
  • Benchmark model performance and optimize prompt usage to manage costs and latency.
  • Create reusable documentation and training materials to improve company-wide AI literacy.
  • Ensure all department-level AI projects comply with data privacy, security, and ethical policies.

What we're looking for

  • 3+ years of professional software development experience.
  • Proficiency in Go or JavaScript (ideally both).
  • Experience building applications with Large Language Models (LLMs) or managing complex workflows using AI tools.
  • Deep understanding of managing large AI projects including agent design, skills, context, and memory.
  • Experience working with APIs and MCPs of platforms like Jira, GitHub, or Salesforce.
  • Ability to translate complex machine learning and engineering concepts into plain language for non-technical stakeholders.
  • Proven track record of analyzing business operations and formulating technical requirements from vague problems.
  • High emotional intelligence and comfort working autonomously within non-technical departments.

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