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Accountabilities:
- Serve as the senior internal AI advisor, developing enterprise AI strategies and guiding teams in identifying high-impact opportunities.
- Design and implement end-to-end AI workflows across departments including Engineering, Sales, Marketing, Finance, Legal, HR, Operations, and Customer Success.
- Build scalable AI architectures by connecting data platforms, AI models, automation tools, and internal applications into secure production-ready solutions.
Requirements:
- 10–15 years of experience in technology, engineering, or architecture roles with significant AI/ML implementation experience.
- Deep knowledge of modern AI technologies including LLMs, agentic frameworks, vector databases, and automation platforms.
- Strong understanding of cybersecurity principles and ability to evaluate data protection and governance in AI deployments.
Benefits:
- Competitive compensation package based on experience, skills, and location.
- Flexible work environment with remote opportunities.
- Access to a collaborative culture focused on innovation, learning, and continuous improvement.
Jobgether
This role is listed on behalf of a partner company that manages applications and next steps. They are a global organization focused on enterprise-wide artificial intelligence capabilities, with a collaborative culture that values innovation and learning.