Senior Forward Deployed Engineer

Your role

As a Senior Forward Deployed Engineer (FDE) you'll utilise your consulting experience and spec-driven development skills to lead AI engagements within financial services clients. Understand commercial constructs, enterprise challenges and regulatory rigor to drive AI adoption across complex and highly regulated enterprises.

Ideally, you are already based in Sydney or Melbourne with Australian work rights.

Your responsibilities

Consulting: advise C-level stakeholders within large financial services corporate clients on AI and lead consulting engagements. Hands-on agent engineering: build, tune and evaluate agents (tool and function calling, controls & identity, multi-step orchestration, knowledge design). Including coding in more than one language, such as; Python, C++, C#.

net, TypeScript/JavaScript. Governance and gates: work within an AI governance, risk and compliance (GRC) framework in a regulated setting. Value and measures: define and track delivery value through metrics. Library and reuse: build and maintain a versioned shared library of skills, rules, prompts, spec templates, checks and patterns.

Spec-driven, PR-based delivery: AI-assisted engineering and spec-driven workflows, including pull-request for reviews, merges and orchestration. Coaching and adoption: coach client staff on the use of AI, while considering risk, compliance, cost, architecture, engineering, delivery, change, operations. Stakeholder communication: present on complex situations with senior stakeholders, while leading engineering approaches, trade-off assessments, risk discussions.

Domain: understand key regulatory obligations in banking or insurance. Cloud: Azure or AWS. Tooling experience: JIRA, Confluence, GitHub, VS Code, GitHub Copilot or Cursor.

Your profile

In addition to previous experience executing on the above responsibilities, ideally you have: Knowledge of the Inner. Source model and approach for CI management of AI components. Knowledge of control frameworks and model-risk/AI-risk expectations in Australian financial services (e.g. APRA prudential standards such as CPS 230 and CPS 234) Experience designing AI Platforms and Control planes Experience with LLMOps and observability: tracing, cost and latency monitoring, prompt/version control, and agent audit trails Prior forward deployed experience being embedded within a client to lead outcomes More than 500K lines of runnable code generated through spec-driven development, based on metrics and full test suites (does not have to be production code) Experience working with third party suppliers, strategic partners to help shape solution offerings.

What you'll love about working here: We recognise the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.

Equip yourself with valuable certifications in the latest technologies such as AWS and Microsoft Azure. We foster a safe and inclusive environment where everyone can be their authentic selves, supported by staff-led community groups. We strive to ensure you feel respected, informed and valued through our recruitment process.

If your experience falls short of this, we welcome your suggestions for improvement via our Contact Us page on our website. If you are living with a disability, we can provide support with access requirements or by making an adjustment to our hiring process. <div