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2 дня назад

Forward Deployment Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Forward Deployment Engineer (AI): Leading the architecture and deployment of data security and AI platforms within complex enterprise environments with an accent on scalable system design and customer outcomes. Focus on bridging the gap between product capabilities and production scale through custom integrations and executive-level technical leadership.

Location: Onsite in North Sydney, New South Wales

Company

hirify.global is the Data and AI Trust Company, specializing in data resilience and security posture management to enable safe AI at scale.

What you will do

  • Lead complex multi-phase deployments across AWS, Azure, GCP, and on-prem environments.
  • Design scalable architectures for data discovery, classification, governance, and AI use cases.
  • Develop custom integrations and "glue code" using APIs and automation to bridge platform and legacy systems.
  • Own technical relationships with senior engineering and executive stakeholders through architecture workshops and design sessions.
  • Collaborate with Product and Engineering teams to influence the product roadmap based on field insights.
  • Mentor junior engineers and establish architectural standards and deployment frameworks.

Requirements

  • 5–8+ years in customer-facing technical roles such as FDE, Solutions Architect, or PS Engineer.
  • Expertise in cloud platforms (AWS, Azure, GCP), Kubernetes, containers, and Linux systems.
  • Advanced proficiency in scripting and automation using Python or JavaScript.
  • Experience with SQL/NoSQL databases and large-scale system integrations via APIs.
  • Strong knowledge of data security, privacy, governance, and compliance concepts.
  • Must be based in or able to work from the North Sydney office.

Nice to have

  • Experience with Generative AI, RAG-based architectures, or ML systems.
  • Background in DLP, DSPM, or privacy platforms.
  • Familiarity with regulatory frameworks like GDPR, SOC2, or ISO 27001.
  • Experience with enterprise data platforms such as Snowflake, Databricks, or BigQuery.

Culture & Benefits

  • Opportunity to work with a market leader in data resilience and security.
  • Direct engagement with some of the world’s biggest brands.
  • Collaborative environment focused on continuous growth and learning.
  • Integration into a high-performance engineering culture within Professional Services.

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