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DigiCert in the United States seeks Forward Deployed Engineers who embed with business teams to ship production AI solutions that deliver measurable ROI. You will own from initial conversation to production, deciding the plan, writing code, and iterating after launch.
This role emphasizes hands-on architecture, building integrations and workflows with AI agents, data pipelines, and secure deployments, while collaborating with non‑technical users and stakeholders across functions.
DigiCert is a global leader in intelligent trust. We protect the digital world by ensuring the security, privacy, and authenticity of every interaction. Our AI-powered DigiCert ONE platform unifies PKI, DNS, and certificate lifecycle management, to secure infrastructure, software, devices, messages, AI content and agents. Learn why more than 100,000 organizations, including 90% of the Fortune 500, choose DigiCert to stop today’s threats and prepare for a quantum-safe future at www.digicert.com
Forward Deployed Engineers at DigiCert are software engineers who embed with a business function (Sales, Support, Finance, Legal, HR, Procurement, Marketing), learn how the work actually gets done, and ship production AI solutions that drive measurable efficiency and ROI: agents on our systems of record, automated workflows, and AI-native tools wired into the architecture people already use.
You are the hands-on CTO of each engagement. You’ll find where AI delivers the highest return, decide the technical plan, write and deploy the code, and keep improving it after launch.
This is not a research role. You will own the work from first conversation to production, and are judged on what ships and what it returns, not on pilots or demos.
Embed and find the work. Sit with business users, understand and map their workflows, data, and systems, and find where AI accelerates growth or saves the most time and money.
Own the architecture. Decide whether to build, buy, or configure solutions, weighing cost, speed, and long-term fit, and lead the technical side of vendor evaluations.
Write and ship production code. Build integrations, agents, and workflows with retrieval, tool use, and human-in-the-loop review. Test, deploy, and support what you ship.
Make AI reliable. Build systems that hold up against fragmented data and unpredictable model behavior. Find the failure cases before users do and decide where humans stay in control.
Build the shared foundation. Partner with IT, Security, and Engineering on model access, identity and permissions, data connectivity, observability, and evaluation. Turn one-off wins into reusable components, so each engagement ships faster than the last.
Prove the value. Every solution ships with a baseline, a measured improvement, and a hard number (hours saved, cost avoided, cycle time cut) for the sponsoring executive.
Leave the business stronger. Work with our enablement team to train operators and power users, so systems keep running and improving after you move on.
4+ years building and shipping production software that people depended on, and supporting it after launch. Software engineering, forward‑deployed engineering, solutions engineering, or startup backgrounds all fit.
2+ years building with LLMs in production: agents, retrieval, tool calling (including MCP), and context engineering. You can explain how you measured and improved a system’s performance, and what it was worth to the business.
Strong coding ability in Python or TypeScript/JavaScript. You write, test, review, and deploy your own code, and you are fluent with APIs, webhooks, data pipelines, and authentication (OAuth, SSO, role‑based access).
Daily use of coding agents, and the discipline to review and validate what they produce.
Comfort and proficiency working directly with non‑technical users: asking great questions, learning an unfamiliar business fast, and turning messy processes into working software.
Judgment in security and compliance‑sensitive environments. You know what data cannot leave the building and design accordingly.
Clear and effective written and spoken communication. You can write a one‑page memo that makes the technical and business case to an executive.
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.
DigiCert is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, DigiCert prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran’s status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified person with disabilities, and protected veterans are strongly encouraged to apply.
The annualized base salary range for this position is outlined below.
Base Salary
$155,000—$200,000 USD