Related skills
data engineering api management data architecture generative ai llmops📋 Description
- Steering Committee: Facilitate cross-functional AI steering and lifecycle tracking.
- Project Vetting: Develop ROI, security, feasibility, and risk evaluation frameworks.
- AI Ambassador: Coach teams on AI adoption; translate business needs into use cases.
- AI Architecture & Delivery: Lead AI tool implementation; ensure secure data flow.
- Data Alignment: Partner with Data Engineering for clean, scalable data architecture.
- MVPs, Guilds & Planning: Deliver MVPs; lead AI Guilds and planning (12–24 mo).
🎯 Requirements
- 7+ years in tech ops, digital transformation, product, or related fields; builder mindset.
- Lead cross-functional initiatives; manage stakeholders; influence AI adoption.
- Experience in ambiguous, fast-paced environments; drive clarity and execution.
- Hands-on Generative AI: data ingestion and RAG to production.
- Full AI product lifecycle: development, deployment, optimization; LLMOps familiarity.
- Enterprise integration: secure APIs; CRM/ERP bridging; Google Gemini/Vertex AI.
🎁 Benefits
- Course reimbursement program
- Pelmorex Learning Academy
- Mental health support with Inkblot
- Free online doctor visits with Maple
- All Hands meetings with CEO
- Anonymous reporting platform
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