Job Description
Are you ready to define the technological landscape for the year 2026?
Nexus Horizon Technologies is on the hunt for a visionary Senior AI Strategist to lead our forward-thinking initiatives. As we prepare for the next generation of digital transformation, we need a leader who can anticipate the market shifts of 2026 and architect solutions that are sustainable, scalable, and groundbreaking.
In this role, you will not just react to trends; you will set them. You will work at the intersection of machine learning, predictive analytics, and strategic business development to ensure we are not just ready for 2026, but leading it.
Why Join Us?
- Work with a team that prioritizes innovation and long-term impact.
- Competitive compensation package with performance bonuses.
- Flexible remote-first hybrid work model.
- Opportunity to shape the roadmap for 2026 and beyond.
Responsibilities
- Define the 2026 AI Roadmap: Lead the strategic vision for artificial intelligence integration, identifying key milestones and deliverables for the 2026 fiscal year.
- Trend Analysis: Conduct deep-dive research on emerging technologies, focusing on advancements expected to dominate the 2026 landscape (e.g., AGI, quantum computing interfaces).
- Stakeholder Management: Translate complex technical strategies into actionable business insights for C-suite executives and investors.
- Project Leadership: Oversee cross-functional teams in the design and deployment of next-gen AI solutions.
- Compliance & Ethics: Ensure all 2026 initiatives adhere to the highest ethical standards and data privacy regulations.
- Innovation Labs: Establish and manage an internal incubator for experimental technologies targeting the 2026 market window.
Qualifications
- Experience: 7+ years of experience in AI strategy, data science, or a related technical field.
- Strategic Foresight: Demonstrated ability to look beyond current trends and accurately forecast technological shifts relevant to 2026.
- Technical Proficiency: Deep understanding of machine learning algorithms, neural networks, and large language models.
- Leadership: Proven track record of leading high-performing engineering and product teams.
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Agile Mindset: Experience working in fast-paced, agile environments with a focus on rapid iteration.