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Senior AI & Future Tech Strategist (2026)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join the Architects of Tomorrow.

Nexus Future Systems is pioneering the next era of technology, specifically targeting our 2026 Roadmap. We are seeking a visionary Senior AI & Future Tech Strategist to lead our advanced research and development division. This is not just a job; it is a mission to define the technological landscape of the next decade.

You will be responsible for bridging the gap between theoretical AI breakthroughs and scalable, real-world infrastructure. If you have a passion for quantum computing, generative AI, and sustainable tech, this is your opportunity to shape the future.

Responsibilities

  • Define the 2026 Strategic Vision: Lead the creation of the company's long-term technological roadmap, focusing on AI-driven automation and future-proof scalability.
  • Lead High-Performance Teams: Manage and mentor a cross-functional squad of AI engineers, data scientists, and UX researchers.
  • Drive Innovation: Spearhead R&D projects involving Large Language Models (LLMs) and autonomous systems.
  • Stakeholder Communication: Translate complex technical concepts into compelling narratives for investors and executive leadership.
  • Infrastructure Scalability: Architect cloud-native solutions that can handle the exponential data growth expected in the 2026 market.

Qualifications

  • Strategic Leadership: 10+ years of experience in a senior technical role, with at least 5 years in AI strategy or future tech.
  • Technical Expertise: Deep understanding of machine learning algorithms, neural networks, and cloud architecture (AWS/Azure/GCP).
  • Visionary Mindset: Proven track record of identifying emerging trends and implementing them before they become mainstream.
  • Communication: Exceptional ability to communicate complex technical strategies to non-technical stakeholders.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Required Skills

AI Strategy Machine Learning Cloud Architecture Leadership Quantum Computing R&D Python TensorFlow

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