Our leading Aviation client is seeking an experienced AI Engineer to join their team on a 6-month initial contract. This role offers flexible working from home arrangements and pays up to $900 per day inclusive of super.

About the Role:

You will design, build, and manage safe, secure, and compliant AI systems across the organisation, embedding AI into business processes and ensuring operational excellence. You will work closely with product, engineering, security, and compliance teams to deliver trustworthy AI solutions that drive innovation, improve customer experience, and maintain regulatory alignment.

Key Responsibilities:

• Design, develop, and champion trustworthy, resilient AI systems, ensuring compliance with governance and security frameworks.
• Partner with product teams, business stakeholders, and leadership to translate business needs into technical AI solutions.
• Collaborate with cross-functional teams (Data Science, Platform Engineering, Security, Compliance) to deliver integrated AI solutions.
• Communicate architecture decisions, technical concepts, and project status clearly to technical and non-technical stakeholders.
• Run LLMOps/AgentOps, including prompt/config management, evaluation suites, red-teaming, and human-in-the-loop controls.
• Implement data pipelines for AI: ingestion, embedding/knowledge stores, retrieval, caching, and data quality controls.
• Orchestrate safe rollouts using canary/A-B experiments, feature flags, and controlled exposure to end-users.
• Participate in incident response and post-incident reviews, owning corrective actions and learning loops.
• Manage platform evolution and technical debt through roadmaps, migrations, and standards alignment.
• Mentor junior engineers, foster technical excellence, and apply engineering best practices.

Key Requirements:

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or equivalent applied experience.
• 3+ years contributing to production-grade AI systems.
• Hands-on experience with Python, FastAPI/FastMCP, React + TypeScript.
• Experience delivering LLMs and agentic systems (RAG, tool/function calling, planning).
• Experience with AWS, Databricks, Cognitive Search, and modern AI platforms.
• Experience in cross-functional delivery with Product, Engineering, Security, Legal/Privacy, and Operations.
• Knowledge of MLOps/LLMOps patterns, vector databases, agent-based architectures, and AI security/privacy fundamentals.
• Strong understanding of risk management, governance, and compliance frameworks as applied to AI.

If you are interested, please apply now. For a confidential discussion, please reach out to [email protected]