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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Strategy Architect

Nexus 2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are Nexus 2026, a visionary technology firm pioneering the next generation of artificial intelligence. As we prepare to launch our flagship autonomous systems in 2026, we are seeking a visionary Senior AI Strategy Architect to lead our research and development initiatives. You will be at the forefront of defining the roadmap that will shape the industry for the next decade.

In this role, you will bridge the gap between theoretical AI research and practical, scalable engineering solutions. You will work closely with our C-Suite and product teams to ensure our technological trajectory aligns with market demands and ethical standards. Join us in building the infrastructure for the future.

Responsibilities

  • Define the AI Roadmap: Create a comprehensive 5-year strategic vision for AI integration within Nexus 2026, specifically targeting breakthroughs by 2026.
  • R&D Leadership: Lead a team of elite engineers and data scientists in researching advanced neural architectures and generative AI models.
  • Strategic Partnerships: Identify and cultivate partnerships with academic institutions and tech leaders to stay ahead of the curve in AI evolution.
  • Feasibility Analysis: Evaluate emerging technologies (e.g., quantum computing integration with AI) and determine their viability for our product suite.
  • Ethical Compliance: Establish and enforce ethical guidelines for AI usage, ensuring transparency and fairness in all automated systems.
  • Stakeholder Communication: Present complex technical strategies to non-technical stakeholders and investors to secure buy-in and funding.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field from a top-tier university.
  • Experience: 10+ years of experience in AI/ML engineering, with at least 5 years in a senior leadership or architectural role.
  • Technical Mastery: Deep expertise in machine learning algorithms, deep learning frameworks (PyTorch/TensorFlow), and large language models (LLMs).
  • Strategic Thinking: Proven track record of translating technical capabilities into viable business strategies.
  • Leadership: Demonstrated ability to manage cross-functional teams and drive projects from concept to deployment.
  • Future-Proof Vision: Ability to anticipate industry trends and adapt strategies accordingly.

Required Skills

Artificial Intelligence Machine Learning Neural Networks Strategy Leadership Python Deep Learning Quantum Computing R&D

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