Senior Forward Deployed Engineer

This is a fully remote position, open to applicants in Australia.

📋 Description

• Provide strategic advice to C-level executives in major financial services corporations regarding AI.

• Oversee consulting projects from inception to execution.

• Develop, adjust, and assess AI agents.

• Implement tool and function calling, control systems, identity management, multi-step orchestration, and knowledge architecture.

• Operate within AI governance, risk management, and compliance frameworks in regulated environments.

• Establish and monitor delivery value using key performance metrics.

• Create and sustain a version-controlled shared repository of skills, rules, prompts, specification templates, audits, and best practices.

• Leverage AI-assisted engineering and specification-driven, pull-request workflows for reviews, integrations, and orchestration.

• Mentor client personnel on AI utilization, considering risk, compliance, cost, architecture, engineering, delivery, change management, and operational aspects.

• Communicate complex scenarios to senior management.

• Direct engineering strategies, trade-off evaluations, and risk management discussions.

• Recognize and address regulatory requirements in the banking or insurance sectors.

⛳️ Requirements

• Preferably located in Sydney or Melbourne.

• Possess Australian work rights.

• Previous experience in consulting.

• Familiarity with specification-driven development methodologies.

• Proven experience in advising C-level stakeholders within large financial services organizations.

• Proficiency in building, tuning, and evaluating AI agents, including tool and function calling, control systems, identity management, multi-step orchestration, and knowledge architecture.

• Proficient in multiple programming languages such as Python, C++, C#.NET, and TypeScript/JavaScript.

• Experience working within AI governance, risk, and compliance frameworks in regulated environments.

• Strong understanding of regulatory obligations in banking or insurance sectors.

• Familiarity with cloud services such as Azure or AWS.

• Experience using tools like JIRA, Confluence, GitHub, VS Code, GitHub Copilot, or Cursor.

• Knowledge of the InnerSource model and continuous integration management for AI components.

• Understanding of control frameworks and model-risk/AI-risk expectations within Australian financial services, including APRA prudential standards like CPS 230 and CPS 234.

• Experience in designing AI Platforms and Control planes.

• Familiarity with LLMOps and observability, encompassing tracing, cost and latency monitoring, prompt/version control, and agent audit trails.

• Prior experience embedded within a client to drive outcomes effectively.

• More than 500K lines of executable code produced through specification-driven development, supported by comprehensive metrics and test suites.

• Experience collaborating with third-party vendors and strategic partners.

🏝️ Benefits

• Flexible work options, including remote arrangements and adjustable working hours.

• Opportunities for career advancement and diverse professional development.

• Access to certifications in technologies such as AWS and Microsoft Azure.

• Commitment to a safe and inclusive workplace.

• Participation in staff-led community initiatives.

• Assistance with disability access needs or modifications to the hiring process.