UpGuard

Cyber Risk Posture Management

SeniorAIandAutomation-Engineer

Sydney, New South Wales, Australia FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior AI and Automation-Engineer at UpGuard. Skills: AI, Automation, LLMs, Workflow orchestration, Python, SQL. Develop production-grade integration and automation solutions. Design and implement production-ready automation workflows that integrate cloud services, internal data sources, and LLM endpoints”

What You'll Achieve.

Democratise AI and automation across UpGuard; Make every UpGuardian more productive; Process 100 billion risk signals daily

Industry & Context.

Cyber Risk Posture Management
Eligibility Requirements

National police history check, Reference checks, Cannot support candidates requiring visa sponsorship or relocation

What They're Looking For.

Must Have

Python, SQL, Experience with automation platforms (n8n preferred, Airflow, Zapier, or other similar platforms), Demonstrated experience leading AI/ML projects from conception to production, Clear communicator: translate technical concepts for non-technical stakeholders and gather business requirements, Experience with embeddings, vector databases, or retrieval patterns, Experience with cloud platform: deployed and managed systems on GCP, AWS, or Azure

Nice to Have

Experience with n8n, Experience with Airflow, Experience with Zapier, Created documentation, tutorials, or enabled others to use technical tools

What You'll Do.

Develop production-grade integration and automation solutions

Design and implement production-ready automation workflows that integrate cloud services

internal data sources

Lead the development and deployment of domain-specific LLMs

Fine-tune lightweight models on internal data from Gong

Make LLMs accessible to teams across the organisation through intuitive interfaces

Establish best practices and patterns for AI and automation across the company

and training materials

Enable non-technical teams to build and deploy their own automation workflows confidently

Run hands-on workshops

Provide ongoing support

Embed security & governance into workflows and model deployments

How You'll Work.

Team & Collaboration

Enable widespread adoption of AI and automation tools; Support all teams to extract key insights from data; Build insightful dashboards; Support leaders in decision-making; Build integrations between systems

Communication Scope

Translate technical concepts for non-technical stakeholders

Full Job Description

## Description Who are we? At UpGuard, we are replacing manual security bottlenecks with AI-driven precision. Fresh off a US$75M Series C, we are scaling our infrastructure to process 100 billion risk signals daily. This isn’t just growth; it’s a total reimagining of how the world manages cyber risk. We build the Cyber Risk Posture Management (CRPM) platform that security teams actually love. By integrating security ratings, threat intel, and agentic AI, we empower organisations to stay ahead of an ever evolving attack surface. We aren’t just building another tool; we’re defining a category. We provide the autonomy to ship world-class technology and the resources to do it at a global scale. Our Analytics team at UpGuard supports all of our teams to extract key insights from the data that we collect. We extract data from multiple sources and build insightful dashboards that display key metrics and support leaders in decision-making. We also build integrations between systems to collect required data seamlessly.  Why are we hiring for this role? As our AI & Automation Engineer, you will democratise AI and automation across UpGuard. Your mission is to build critical n8n workflows and develop domain-specific LLMs that make every UpGuardian more productive. The role will report to the Head of A3 (Automation, AI and Analytics).  ## What will you do? Develop production-grade integration and automation solutions - Design and implement production-ready automation workflows that integrate cloud services, internal data sources, and LLM endpoints. Lead the development and deployment of domain-specific LLMs- Fine-tune lightweight models on internal data from Gong, Notion, BigQuery, and other sources, then make them accessible to teams across the organisation through intuitive interfaces. Establish best practices and patterns for AI and automation across the company - Create templates, documentation, and training materials that enable non-technical teams to build and deploy their

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