Job Description
Are you ready to define the trajectory of enterprise AI? Zenith Future Labs is seeking a visionary Director of Artificial Intelligence Strategy to lead our charge into the next generation of intelligent systems. We are not just building tools for today; we are architecting the future of work for 2026 and beyond.
In this pivotal role, you will bridge the gap between cutting-edge technical innovation and high-level business strategy. You will be responsible for identifying emerging AI trends, evaluating their market viability, and overseeing the integration of these technologies into our core product lines. If you have a passion for the future and a proven track record of scaling AI initiatives, we want to hear from you.
Why Join Us?
- Work at the forefront of Generative AI and Large Language Models.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a premium office in the heart of San Francisco.
Responsibilities
- Define and execute the company's 2026 AI and Machine Learning roadmap, aligning technical capabilities with long-term business objectives.
- Lead a cross-functional team of data scientists, engineers, and product managers to deliver high-impact AI solutions.
- Conduct rigorous research on emerging technologies (e.g., Computer Vision, NLP, Reinforcement Learning) and assess their potential application.
- Establish ethical guidelines and governance frameworks to ensure responsible AI deployment and compliance with industry standards.
- Collaborate with C-suite executives to communicate complex AI strategies to stakeholders and investors.
- Drive the identification of strategic partnerships and acquisition targets within the AI ecosystem.
Qualifications
- Master’s or PhD degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
- Minimum of 10 years of experience in AI/ML strategy, with at least 5 years in a senior leadership or director-level capacity.
- Deep technical understanding of modern AI architectures, including Deep Learning, Neural Networks, and LLMs.
- Exceptional strategic thinking and problem-solving skills with a proven ability to translate technical concepts into business value.
- Strong leadership presence with the ability to mentor and inspire high-performing engineering teams.
- Excellent communication skills, with the ability to articulate complex ideas to both technical and non-technical audiences.