AI Operations & Strategy Engineer

ENVIRONMENT :

An award-winning marketing technology agency based in Century City is seeking a highly skilled, strategically minded AI Operations & Strategy Engineer to join its senior engineering team, reporting directly to the CTO and Technical Lead. In this pivotal role, you will serve as the custodian of the company’s AI and LLM strategy—driving organisation-wide adoption, optimising infrastructure and costs, ensuring ethical and reliable outputs, and shaping the roadmap for future AI-powered products. You’ll thrive in a fast-paced Agile environment with one-week sprints and bi-weekly retrospectives, where your expertise in AI systems, automation, and applied machine learning will directly influence business KPIs and OKRs. This is a role for someone who can bridge strategy and execution and elevate how the organisation thinks about and leverages AI at scale.

DUTIES :

AI Governance & Prompt Management – Design and maintain a centralised prompt repository; manage version control; refine prompts for performance, brand alignment, and consistency.

• AI Cost Management (AI FinOps) – Monitor token usage, model selection, and cloud AI costs; optimise for ROI across OpenAI, Anthropic, Google, AWS, and other providers.
• Evaluation Frameworks & Assurance – Implement and enforce evaluation metrics (incl. RAG-specific metrics, HITL validation) to ensure accuracy, fairness, and reliability of AI outputs.
• Internal AI Enablement & Support – Train, guide, and support teams on responsible usage of integrated AI tools; act as internal AI champion.
• AI Strategic Roadmap Contribution – Research, prototype, and recommend new models, features, and integrations; contribute to technical specifications and strategic product evolution.
• Documentation & Knowledge Sharing – Produce high-quality documentation covering AI frameworks, prompt guidelines, best practices, and governance processes.
• Cross-Functional Collaboration – Participate in standups, sprint ceremonies, and engineering discussions; provide expertise for ethical and effective AI deployment.

REQUIREMENTS :

Experience & Qualifications

Must-Have Skills

Nice-to-Have Skills

Additional Requirements

ATTRIBUTES :