Full-Time

Build Analyst

Updated on 9/3/2026

Future Secure AI

Future Secure AI

201-500 employees

Delivers persona-based, multi-agent enterprise AI Co-Workers

Compensation Overview

A$150k - A$170k/yr

Brisbane QLD, Australia + 2 more

More locations: Melbourne VIC, Australia | Sydney NSW, Australia

In Person

Category
Project & Program Management (1)
Required Skills
Agile
Product Management
JIRA
Confluence
Data Analysis

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Requirements
  • At least 8 years of experience as a Business Analyst, Technical Consultant, Product Owner, Product Manager, or in a delivery-focused role in a technology or artificial intelligence environment.
  • A working understanding of application programming interfaces and data schemas, with the ability to engage credibly with technical counterparts and assess downstream implications for the build.
  • The ability to understand and represent data models to enable mock data creation.
  • Deep knowledge of agile delivery practices, with a strong track record of running sprint ceremonies and managing backlogs end-to-end.
  • Proven ability to serve as the primary customer liaison on complex projects, building trust, managing expectations, and maintaining clear communication throughout delivery.
  • Extensive experience facilitating requirement and scoping workshops with multiple stakeholders, including drafting templates, mappings, and process documentation.
  • Demonstrated ability to coordinate user acceptance testing, including scenario validation, session scheduling, feedback triage, and production-readiness planning.
  • Strong analytical skills with the ability to translate ambiguous customer needs into clear, actionable requirements, user stories, and a feasible artificial intelligence solution approach.
  • Excellent written and verbal communication skills, including the ability to craft status updates and present compelling demos to customer stakeholders.
  • Comfort navigating fast-paced, high-accountability environments where delivery outcomes are directly tied to customer return on investment.
  • Proficiency in business analysis and delivery tools such as Jira and Confluence.
Responsibilities
  • Act as the single point of accountability for project delivery, owning the specifications, design, and delivery outcomes across the full lifecycle.
  • Map end-to-end customer journeys, define and scope use cases, manage scope change, and drive customer alignment throughout.
  • Own the as-is process documentation during initial discovery and lead scoping workshops, translating customer needs into a well-defined artificial intelligence solution design.
  • Act as an early warning system for delivery risks, surfacing major scope deviations and material budget impacts.
  • Conduct detailed analysis of data, processes, and workflows to support decision-making and risk management.
  • Partner closely with Engineering on project design, non-functional requirements, application programming interface discovery, feasibility, and artificial intelligence product readiness.
  • Lead all agile ceremonies and sprint activities, including writing and validating user stories, tracking scope, and removing blockers that slow the team down.
  • Plan and facilitate low-fidelity demos at each milestone and manage customer expectations to keep stakeholders informed and aligned.
  • Coordinate user acceptance testing end-to-end by facilitating the kick-off, scheduling review sessions, triaging feedback, and owning the go/no-go decision with the customer.
  • Work across a portfolio of complex and often ambiguous use cases in varying industries, contributing to emerging artificial intelligence projects.
  • Serve as the primary customer-facing lead during the build, running weekly status cadences.
  • Partner closely with Engagement Leads to translate customer requirements into a use-case execution project plan and roadmap.
  • Support Engagement Leads by providing use-case-level context and completion status.
  • Join customer meetings to validate requirements and address concerns constructively, ensuring transparency in communication.
Desired Qualifications
  • Enjoy fast results, continuous improvement, and being part of something scaling quickly.
  • Confidence in front of customers, especially when things get tough, with the ability to reset direction gracefully.

Future Secure AI builds persona-based, multi-agent AI Co-Workers designed for large enterprises and private equity firms. Their core offering, Red-Zone AI Co-Workers, consists of over 100 agent personas that automate complex, high-stakes workflows. The agents integrate with a client’s core systems and governance frameworks and operate securely on the client’s network, remaining cloud- and LLM-agnostic to avoid vendor lock-in. Workflows run within a hybrid team, with AI Co-Workers reporting to human managers and maintaining human-in-the-loop oversight. The company differentiates itself by targeting mission-critical environments with on-premise deployment, strong governance, and integration into existing IT and security controls, rather than generic AI tools. Their stated goal is to deliver 10x to 20x ROI on operating costs, often paying for themselves within six months. Clients span infrastructure, services, finance, health, and connected economies.

Company Size

201-500

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A

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Simplify Jobs

Simplify's Take

What believers are saying

  • September 2026 jobs board lists 48 openings, showing aggressive delivery and security hiring.
  • Future Secure AI cites first wins in finance, tax, healthcare, and private equity.
  • HQ relocation and U.S. expansion target accelerating demand across Austin, New York, Toronto.

What critics are saying

  • Microsoft, Palantir, and ServiceNow can bundle similar agents into existing enterprise contracts.
  • AFR reported a planned 2027 IPO; public-market scrutiny will expose retention and margins.
  • If Fortune 500 buyers standardize on one model stack, Future Secure AI loses differentiation.

What makes Future Secure AI unique

  • Austin HQ and Todd Hewlin signal enterprise-scale execution from March 2026 onward.
  • On-network, LLM-agnostic deployments reduce model lock-in for regulated buyers.
  • Persona-based Red-Zone AI targets mission-critical workflows, not generic chatbot automation.

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Benefits

Flexible Work Hours