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DigiCert

Delivers digital certificates and identity verification

Forward Deployed Engineer

AI Application EngineeringUpdated on Nov 11
Full-timeRemote in USA$155k - $230k /yrRemote

About the Job

Requirements

  • At least 4 years of experience building and shipping production software and supporting it after launch.
  • At least 2 years of experience building production systems with large language models, including agents, retrieval, tool calling (including MCP), and context engineering; ability to explain how system performance was measured and improved and its business value.
  • Strong coding ability in Python or TypeScript/JavaScript, including writing, testing, reviewing, and deploying code.
  • Fluency with APIs, webhooks, data pipelines, and authentication, including OAuth, SSO, and role-based access.
  • Daily use of coding agents and ability to review and validate their output.
  • Ability to work directly with non-technical users, learn unfamiliar businesses, and translate processes into working software.
  • Judgment in security- and compliance-sensitive environments, including designing appropriately for data that cannot leave the organization.
  • Effective written and spoken communication, including writing a concise memo presenting a technical and business case to an executive.

Responsibilities

  • Embed with business users to understand and map workflows, data, and systems, and identify opportunities for AI to accelerate growth or save time and money.
  • Own solution architecture by deciding whether to build, buy, or configure solutions based on cost, speed, and long-term fit, and lead the technical side of vendor evaluations.
  • Build integrations, agents, and workflows using retrieval, tool use, and human-in-the-loop review; test, deploy, and support shipped solutions.
  • Build reliable systems that handle fragmented data and unpredictable model behavior, identify failure cases, and determine where humans should remain in control.
  • Partner with IT, Security, and Engineering on model access, identity and permissions, data connectivity, observability, and evaluation; develop reusable components from successful engagements.
  • Measure and report each solution's baseline, improvement, and business impact, such as hours saved, cost avoided, or cycle time reduced, to the sponsoring executive.
  • Work with the enablement team to train operators and power users so systems continue running and improving.

Desired Qualifications

  • Prior forward-deployed engineering, product management, or early-engineer experience.
  • Experience integrating enterprise platforms such as Salesforce, Microsoft 365, NetSuite, Jira, and Databricks.
  • Exposure to SOX, FedRAMP, or similar control environments.
  • Experience in a security or PKI company, or another business where trust is the product.

About the Company

DigiCert

Delivers digital certificates and identity verification

DigiCert provides digital trust solutions that help organizations secure their online communications and transactions, offering digital certificates, identity verification, and electronic seals for enterprises and government clients. These products work by issuing and managing digital credentials and seals that authenticate identities, encrypt data, and ensure integrity of data in transit and at rest, plus services for identity verification and applying official seals. DigiCert differentiates itself with an enterprise- and government-focused, integrated suite of trusted credentials delivered on a recurring subscription, complemented by consulting and support services rather than standalone tools. Its goal is to help organizations operate securely in a connected world by providing reliable, scalable digital trust across online communications and assets.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
Not listed
Headquarters
Lindon, UT
Founded
2003

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