Job Description
We are standing at the precipice of a new technological era. As we look toward the year 2026, the trajectory of Artificial Intelligence is shifting from experimental to transformative. Nexus Future Labs is seeking a visionary Senior AI Strategist to architect our 2026 roadmap and define the infrastructure of tomorrow.
In this pivotal role, you will bridge the gap between cutting-edge research and practical application. You won't just be managing projects; you will be defining how humans interact with intelligent systems five years from now. If you are obsessed with the trajectory of AI in 2026 and want to build the systems that will power the next generation of global commerce, this is your moment.
Why Join Us?
We are a forward-thinking collective of engineers, designers, and strategists dedicated to the future. You will have the autonomy to influence high-level decisions, access to proprietary data sets, and a culture that rewards innovation over convention.
Responsibilities
- Develop and execute the comprehensive 2026 AI strategy and technology roadmap.
- Analyze emerging trends (e.g., AGI, LLM evolution) to predict market shifts and competitive advantages.
- Collaborate with R&D and Engineering to integrate futuristic technologies into current product suites.
- Identify and mitigate risks associated with advanced AI deployment and data ethics.
- Lead cross-functional workshops to align engineering, product, and business units on the 2026 vision.
- Present complex technical concepts to executive stakeholders and non-technical audiences.
Qualifications
- 10+ years of experience in Technology Strategy, Product Management, or AI Engineering.
- Deep understanding of the AI landscape leading up to 2026, including Generative AI, Predictive Analytics, and Neural Networks.
- Proven track record of defining long-term strategic visions for Fortune 500 companies or high-growth tech startups.
- Exceptional communication skills to translate complex technical concepts for executive stakeholders.
- Master's degree in Computer Science, Engineering, or Business Administration (MBA preferred).
- Strong ability to navigate ambiguity and drive consensus in fast-paced environments.