Engineering Director - Head of AI Engineering
Tasks
- Automate SDLC workflows
- Define AI engineering strategy
- Define adoption success metrics
- Drive GenAI platform engineering
- Drive enterprise adoption and change management
- Embed controls with security and compliance
- Enable AI governance guardrails
- Ensure audit readiness and remediation
- Establish AI adoption metrics
- Implement maturity based adoption models
- Integrate LLMs into platforms
- Lead enterprise AI operating model
- Lead vendor evaluations
- Manage engineering budgets and cost centers
- Optimize AI platform cost and vendor spend
- Oversee AI delivery roadmaps
- Perform people leadership and performance management
- Standardize CI/CD pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | AI Security | AI compliance | Audit Readiness | CI/CD | Cloud vendor management | Data-driven | Data-driven reporting | Developer experience | Development Life Cycle | Generative AI | LLM integration | Language Models | Large Language Models | Platform Engineering | Project Management | Quality Engineering | Repository standardization | Responsible AI | Risk Management | SDLC automation | Security Automation | Software Development Life Cycle | Software development | Test automation | Vendor management
Education
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