Job Description
Are you ready to architect the future of technology? Nexus Horizon Labs is seeking a visionary Senior AI & Future Technology Strategist to lead our initiatives leading into 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical innovation and practical application, guiding our teams in developing next-generation AI solutions that define the era.
Our mission is to redefine the boundaries of what is possible. As a key strategist, you will not only anticipate market trends but also shape the ethical frameworks that govern our technological advancements. We offer a competitive environment where creativity meets rigorous engineering.
Why Join Us?
- Shape the 2026 technology roadmap.
- Work with cutting-edge AI and predictive models.
- Competitive compensation and equity package.
- Remote-first culture with a focus on collaboration.
Responsibilities
- Define and execute the 2026 Technology Roadmap, aligning high-level AI initiatives with business objectives.
- Lead cross-functional teams in the research and development of advanced machine learning models and neural networks.
- Collaborate with C-level executives to identify high-impact opportunities for digital transformation.
- Establish ethical guidelines and compliance standards for emerging AI technologies and autonomous systems.
- Monitor global tech trends to ensure Nexus Horizon remains at the forefront of innovation.
- Present complex technical strategies to non-technical stakeholders with clarity and impact.
Qualifications
- 10+ years of experience in technology strategy, AI, or software engineering.
- Proven track record of leading large-scale projects from concept to successful deployment.
- Deep understanding of machine learning algorithms, natural language processing, and predictive analytics.
- Excellent verbal and written communication skills with the ability to articulate complex technical concepts.
- Experience working in a fast-paced, agile environment.
- Experience with generative AI and large language models is highly preferred.