Related skills
cloud ai mlops llms playbooks📋 Description
- Lead AI development teams to meet sprint commitments.
- Define AI architecture patterns and review project implementations.
- Create reusable AI frameworks, prompts, and playbooks.
- Support presales AI solutioning with technical designs and client explanations.
- Coach teams through architectural decisions and delivery challenges.
- Collaborate cross-functionally to align AI initiatives with business outcomes.
🎯 Requirements
- AI leadership: deep production AI system design experience.
- MLOps & lifecycle: lifecycle mgmt and evaluation frameworks.
- AI frameworks & cloud: modern AI/ML frameworks and cloud platforms.
- Architecture: 8–12+ years in software engineering and architecture.
- Legacy modernization: cloud-ready AI solutions with AI/ML capabilities.
- Client comms & mentorship: present AI concepts; mentor engineers.
🎁 Benefits
- Stability: in business for 20+ years.
- Work-life balance: no more than 40 hours/week.
- Great culture: recognized by industry outlets.
- Management support: enable career growth.
- Health benefits: medical, dental, vision; wellness days.
- Retirement: IRA with up to 3% company match.
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