About the role
Define, operationalise, and scale AI adoption at voize.
- •As an AI Enablement Engineer, you will define, operationalise, and scale AI adoption at voize.
- •You will build infrastructure, guardrails, and enablement systems to help teams adopt AI safely and effectively.
- •Key Responsibilities Build the AI infrastructure: Design and maintain voize's internal AI productivity suite.
- •Enable and educate: Build AI fluency across the organisation through onboarding sessions, workshops, playbooks, and best practices.
- •Set guardrails: Establish and enforce standards for AI governance, safe use, data handling, and compliance.
- •Consult & ship with teams: Partner with teams and leadership to embed AI into workflows and build agents and automations.
- •Drive change: Help people and management rethink how companies are run by managing the transition towards an organisation where humans and AI agents work side by side.
- •Requirements 5+ years of experience in a fast-paced tech or SaaS environment, with hands-on ownership of cross-functional initiatives including AI or advanced technology adoption.
- •Strong technical fluency in LLM-based systems and experience designing and integrating AI workflows across tools and data platforms.
- •Engineer mindset
Tech stack
LLMsPythonEngineering ManagementCommunicationLeadershipAgileStakeholder ManagementOKRsProduct ManagementScrumKanbanUser ResearchA/B TestingRoadmappingPRDsDesign ThinkingWireframingPrototypingProgram ManagementProject ManagementCustomer SuccessCustomer OnboardingImplementation ManagementTeam ManagementTechnical LeadershipExecutive LeadershipStrategic PlanningOrganizational DesignCoachingMentoring
Match insights
Tech:LLMs, Python, Engineering Management, Communication, Leadership
Level:Mid