Назад
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2 дня назад

Senior Forward Deployed Engineer (AI)

175 000 - 240 000CAD
Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
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): Deploying cybersecurity rating solutions into strategic customer workflows with an accent on AI-native development, data science, and cloud integrations. Focus on translating security risk into financial models, connecting enterprise systems across AWS, Azure, and GCP, and hardening rapid field prototypes into production software.

Location: Remote in Canada; travel to customer sites is typically 30–40% depending on account load.

Total compensation: CAD 175,000–CAD 240,000 annually, including base salary and bonus.

Company

hirify.global is a cybersecurity ratings and SaaS company that helps organizations identify and manage risks across their digital footprints.

What you will do

  • Deploy onsite 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 needs into technical solutions.
  • Build AI-native solutions using LLMs, ML models, and modern AI tooling to automate analysis and reduce manual work.
  • Analyze customer and platform data, including translating security ratings into Annualized Loss Expectancy, Value at Risk, and ROI.
  • Design and deploy integrations, pipelines, and tools connecting hirify.global with SIEM, GRC, ticketing, data warehouse, and other systems.
  • Architect solutions across AWS, Azure, and GCP, prototype rapidly, productionize software, and feed customer insights into the product roadmap.

Requirements

  • 6+ years of engineering or technical deployment experience, including customer-facing work.
  • Hands-on experience building and shipping AI-powered products or features with 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 experience across AWS, Azure, and GCP, with the ability to fit solutions into existing customer cloud 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

  • Remote work with regular travel for customer workshops, technical deep dives, and go-live support.
  • Competitive country-specific salary and health benefits.
  • Stock options, unlimited PTO, parental leave, and tuition reimbursement.
  • Additional annual performance-based incentive compensation and equity may be available.
  • Immigration sponsorship is not provided for this position.

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