AI Forward Deployed Engineer Hybrid + Equity | AI- Outage Intelligence

AI Forward Deployed Engineer | $120K-$150K + Hybrid + Equity | AI-Based Outage Intelligence Company

• Full-time
• Compensation: USD 120000 - USD 150000 - yearly

This is a hybrid role in King of Prussia, PA, 3 days per week in the office.

This is a highly technical, AI-first position sitting at the intersection of Engineering, Customer Success, Infrastructure, Operations, and Automation.

Our client builds an AI‑powered outage intelligence platform trusted by Fortune 500 companies to automate incident response, outage diagnosis, ticket triage, and operational decision‑making.

This is a role for builders.

Our client is hiring because the company is growing quickly, and engineering is getting pulled into customer requests, onboarding, tooling, integrations, and operational work. They need someone who can own those problems, build solutions, automate processes, and free up the rest of the team to focus on core engineering work.

Who you might currently be an:

• Forward Deployed Engineer
• AI Automation Engineer
• Infrastructure Engineer
• Platform Engineer
• Backend Engineer with strong customer exposure
• Technical Solutions Architect
• AI Engineer

You’ll work at the intersection of Engineering, Customer Success, and Operations, solving real customer problems, building automation, improving internal systems, and helping scale a platform trusted by Fortune 500 organizations.

We’re looking for someone who enjoys building AI‑driven solutions, automating workflows, working directly with customers, and solving problems wherever they appear.

You’ll help customers deploy and scale AI‑powered solutions, build internal tools and automations, improve operational workflows, eliminate manual processes, and work directly inside the production codebase to create real business impact.

This role requires someone who sees a problem, takes ownership, and builds the solution.

• AI‑first engineers who love automation, building systems, and solving complex technical problems.
• Technical generalists who can operate across backend engineering, infrastructure, AI workflows, and production systems while staying focused on business outcomes.

• Engineers who want narrowly defined responsibilities, prefer working only from tickets, and need detailed requirements before taking action.
• Developers who want to stay exclusively focused on coding and avoid customer interaction, operations, or problem‑solving.

• You build AI‑powered automations and systems that eliminate manual work, improve efficiency, and create measurable business impact.
• You partner directly with customers and internal teams to identify problems, remove bottlenecks, and build solutions.
• You improve onboarding, implementations, infrastructure, reliability, and internal tooling while helping scale a category‑defining AI platform used by leading enterprises.

This company is transforming how major enterprises detect outages and maintain critical operations. The largest Fortune 500 brands trust their platform across telecom, retail, and essential services (Telus, Kroger, 7‑Eleven, AT&T, U.S. Bank, etc.), and their partner ecosystem includes Microsoft, Service Now, and Cognizant.

Their platform helps the world’s largest telcos, banks, retailers, and managed service providers reduce costs by diagnosing outages using AI. This automates triage, reduces dispatches, and improves repair times.

The platform automatically determines whether an outage is caused by power, network infrastructure, or other factors, enabling faster decisions and reducing millions of dollars in operational costs.

• Equity in a fast‑scaling AI company
• Unlimited PTO
• Hybrid work environment
• Direct impact on company growth and product evolution
• Work closely with leadership and engineering
• Opportunity to help define internal systems and customer experience
  
  Fast‑moving startup environment with significant ownership

• Build and deploy production‑ready solutions inside the core AI platform.
• Develop AI‑powered automations and internal tools that improve operations.
• Support customer API integrations and onboarding efforts.
• Partner with Customer Success to solve technical…