Business Analyst (AI & LLMs)
Salary: $6,000 – $7,500 per month
About the role
This role suits someone who thrives in a product-driven environment, enjoys connecting dots across teams, and communicates clearly and confidently in both technical and non-technical settings. You will be responsible for uncovering operational pain points and inefficiencies where AI could provide meaningful solutions and automation opportunities.
Key responsibilities
Uncover operational pain points and inefficiencies where AI could provide meaningful solutions and automation opportunities
Design and support development of AI prototypes across divisions to maximise adoption and integration success
Monitor performance of deployed AI projects and develop strategies to expand successful implementations
Conduct workshops and collaborate with stakeholders to build AI literacy, raise awareness of approved AI tools, and enable safe and responsible AI adoption in day-to-day work
Track and report on AI initiative outcomes, including efficiency gains and cost savings, while supporting long-term AI strategy development
Develop reusable frameworks, standards, documentation, and training materials to support sustainable process excellence
About you
2 to 4 years of experience as a technical business analyst, AI advocate, or innovation practitioner in a technology environment, preferably with hands-on involvement in AI awareness, adoption, or innovation initiatives
Good understanding of LLMs, how they work, how to do prompt engineering effectively, and how to build apps with them, their applications, and associated risks
Keen interests in AI development, including development in global AI regulations and guidelines
Preferably competent in Python programming, with some familiarity of cloud deployments for ML models and LLMs
Strong written and verbal communication skills, with the ability to translate technical concepts for both technical and non-technical stakeholders
Structured, detail-oriented, and accountable, with strong documentation habits and follow-through
Comfortable working cross-functionally with engineering, product, policy, frontline teams, and external partners
Collaborative and humble, with a strong sense of ownership