AI Solutions Engineer
US$136,000 – US$209,000 / yr base salary
Posted 16 Sep 2026
Advertised as “AI Solutions Engineer (Forward Deployed Engineer)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3+ yrs
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
| Base salary | US$136,000 – US$209,000 / yr |
|---|
About Us:
DailyPay is the leader in On-Demand Pay, helping employers modernize how people get their pay. DailyPay serves more than 1,900 employers and over 6 million employees, including many of the world's most recognized brands. By providing real-time access to earned pay and financial wellness tools, DailyPay helps employees manage their finances and helps employers attract and retain talent. DailyPay is helping define the future of pay, where money moves at the speed of work. Learn more at DailyPay's Press Center.
Role
As an AI Solutions Engineer, you will be at the heart of our mission to integrate AI into the processes and workflows serving DailyPay. Situated directly within DailyPay's Engineering organization, you will empower other departments to create AI-based solutions and act as their premier "go-to" technical leader.
In this cross-functional role, you work with domain experts to capture workflows as skills, uncover workflow bottlenecks, and build the custom software, scripts, and model integrations needed to bring DailyPay’s AI strategy to life. By bridging the gap between enterprise-grade AI engineering and daily business unit execution, you will raise the bar for engineering excellence and ensure our technology directly translates into enhanced financial wellness for our users.
How You Will Make an Impact
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Discover and Build: Embedded across departments to shadow domain experts to uncover workflows and pain points, design and ship automation (MVPs, custom scripts, API integrations), and mature solutions into managed, durable agents.
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Own Outcomes: Define metrics with stakeholders, track adoption and ROI, and prioritize projects based on feasibility, risk, and business value.
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Build Reliable AI Systems: Design, build, evaluate, and operate AI workflows; implement evaluation frameworks, guardrails, observability, and feedback loops.
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Be the resident expert: Serve as the on-the-ground authority for AI questions. Help non-technical teams evaluate, configure, and get more out of the AI features already sitting in their existing SaaS stack.
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Elevate AI literacy: Mentor peers in AI development, build learnings into reusable documentation and training, and demo emerging AI capabilities to inspire many across the company.
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Enrich Engineering: Steer hosted harness and local harness development with the distilled problems, prototypes, and established workflows created with various departments.
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Optimize AI Performance and Cost: Benchmark model performance, optimize prompt/token usage, manage API latency, and monitor operational costs to keep AI applications efficient and scalable as usage grows.