The AI Strategy & Enablement Lead should
be able to bridge the gap between technical implementation and
business alignment. Should be able to guide
team through the early stages of AI adoption. The primary focus of
this role is to:
i. Establish foundational AI capabilities
ii. Define and promote best practices
iii. Develop and implement a structured AI
framework
iv. Promote consistency, scalability, and
compliance.
Key accountabilities / milestones &
outcomes:
Detailed instructions on how to craft effective prompts for AI
tools, including examples of straightforward and
instructional prompts.
Prompt Optimisation: Tips for ensuring accurate and
relevant responses from AI platforms. Guidelines
for structuring queries to get the most relevant
results and verifying the accuracy of AI-generated
outputs
Model selection criteria – matrix to help select the most
appropriate model based on use case.
Prompt Templates - Templates for documenting prompt flows,
auditing etc.
Prompt Libraries - Curated collections of effective prompts for
different domains
Prompt Testing Interface – how to test prompts against different
models including side by side
comparison.
Model behaviour insights - Temperature and token limit effects
Define a process to Integrate lifecycle management for models,
including versioning, retraining, and
retirement. Consider use of GIT Hub.
Aligning with client’s Responsible AI Policy.
Recommendations on how best to embed KPIs and success metrics for
AI initiatives, and advantage tracking
mechanisms to
measure impact and value delivery.
📌 Ai Strategy & Enablement Lead Melbourne
🏢 Nameless
📍 Melbourne
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