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1 день назад

Senior Forward Deployed Engineer (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Forward Deployed Engineer (AI): Embedding SecurityScorecard into strategic customers’ security, risk, and compliance workflows by building AI-native integrations, pipelines, and production software across AWS, Azure, and GCP with an accent on LLMs, data science, and cybersecurity risk quantification. Focus on deploying onsite with customers, translating security ratings into financial models such as ALE and VaR, and solving complex integration challenges across SIEM, GRC, ticketing, and data warehouse systems.

Location: Remote within the United States; travel to customer sites is typically 20–40%.

Company

Cybersecurity SaaS company providing continuous security ratings and cyber risk management solutions for organizations worldwide.

What you will do

  • Deploy with strategic customers to map security, risk, and compliance workflows and identify opportunities to reduce manual effort.
  • Gather requirements from practitioners and executives and translate customer processes, data, and decision logic into technical solutions.
  • Build AI-native solutions using LLMs, ML models, and modern AI tooling to automate analysis and quantify cyber risk.
  • Design and deploy integrations, pipelines, and tools connecting the platform with SIEM, GRC, ticketing, data warehouse, and other customer systems.
  • Architect and deploy solutions across AWS, Azure, and GCP, rapidly prototype in the field, and harden successful solutions into production-quality software.
  • Bridge Product, Engineering, Customer Success, Sales Engineering, and strategic accounts through renewals and expansions.

Requirements

  • 8+ years of software engineering experience, including significant customer-facing, forward-deployed, or solutions engineering work.
  • Hands-on experience shipping AI-powered products or features using LLMs, agentic frameworks, or ML models.
  • Working data analysis and data science skills, including risk quantification, benchmarking, and exposure modeling.
  • Strong full-stack fluency across backend services, APIs, scripting, data pipelines, REST, webhooks, SSO/SAML, and SIEM connectors.
  • Architecture design experience across AWS, Azure, and GCP, with the ability to fit solutions to existing customer environments.
  • Excellent communication, enterprise discovery, independent delivery, and comfort working in ambiguous customer-facing environments.

Nice to have

  • Prior experience in cybersecurity, GRC, or risk management.

Culture & Benefits

  • Competitive country-specific salary and stock options.
  • Health benefits, unlimited paid time off, and parental leave.
  • Tuition reimbursement and additional company benefits.
  • Equal employment opportunity and reasonable accommodation support.

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