Job Description
The Opportunity
We are looking for a visionary Senior AI & Future Tech Strategist to help architect the digital landscape of 2026. At Nexus Horizon AI, we are not just building for today; we are designing the intelligent systems that will define the future. If you have a passion for cutting-edge technology and a strategic mindset, this is your chance to lead the charge in shaping the next era of AI.
Why Nexus Horizon?
• Future-Proofing: Work on initiatives that directly impact the 2026 roadmap and beyond.
• Elite Team: Collaborate with world-class engineers and futurists.
• Impactful Work: Deploy solutions that solve complex problems at scale.
• Compensation: Competitive salary, equity package, and comprehensive benefits.
Responsibilities
We are seeking a leader who can translate complex future trends into actionable business strategies. You will be responsible for steering our technical vision and ensuring our AI capabilities remain ahead of the curve.
Responsibilities
- Lead the strategic development of AI architectures for the 2026 roadmap and emerging technologies.
- Analyze global tech trends to define the company's long-term future tech vision.
- Oversee the integration of autonomous agents and next-gen algorithms into core workflows.
- Ensure ethical standards, data privacy, and compliance in all AI deployments.
- Present complex technical roadmaps to executive stakeholders and board members.
- Collaborate with product and design teams to build intuitive, AI-driven user experiences.
- Identify and mitigate risks associated with emerging technology adoption.
Qualifications
- 10+ years of experience in Artificial Intelligence, Machine Learning, or Data Science.
- Proven track record of leading technical teams in a high-growth, innovative environment.
- Deep expertise in LLMs, NLP, predictive analytics, and autonomous systems.
- Strong understanding of future tech trends, including Web3 and the Metaverse.
- Exceptional communication skills with the ability to translate technical jargon into business value.
- Experience with agile methodologies and rapid prototyping in a startup setting.
- Master’s degree in Computer Science, Engineering, or a related field is preferred.