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Senior AI Strategy Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the Future of Intelligence.
We are pioneering the next generation of autonomous systems and are looking for a Senior AI Strategy Architect to lead our roadmap toward 2026. If you have a vision for the next era of AI and a track record of turning complex algorithms into scalable business solutions, we want to hear from you.

As a key member of our elite strategy team, you will define the technological vision that will define our company for years to come. You won't just be managing code; you will be architecting the future.

Responsibilities

  • Define the 2026 Roadmap: Lead the strategic planning and development of AI initiatives, ensuring alignment with long-term business goals and emerging market trends.
  • Prioritize R&D: Identify high-impact opportunities in Generative AI, Predictive Analytics, and Autonomous Systems to drive competitive advantage.
  • Technical Governance: Establish architectural standards for AI models, ensuring scalability, security, and ethical compliance across all platforms.
  • Stakeholder Leadership: Collaborate with C-suite executives and product teams to translate complex technical concepts into actionable business strategies.
  • Prototype & Innovate: Spearhead proof-of-concept projects for next-generation technologies, validating concepts before full-scale deployment.
  • Partner Ecosystems: Evaluate and integrate third-party AI tools and partnerships to enhance our internal capabilities.

Qualifications

  • Experience: 8+ years of experience in AI, Machine Learning, or Data Science, with at least 3 years in a senior leadership or strategic architecture role.
  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Strategic Vision: Proven ability to anticipate future technological trends and translate them into strategic business initiatives.
  • Technical Mastery: Deep understanding of LLMs, NLP, Computer Vision, and MLOps infrastructure.
  • Leadership: Exceptional communication skills with the ability to influence cross-functional teams and non-technical stakeholders.
  • Adaptability: Comfortable operating in a fast-paced, high-growth environment with rapidly evolving technologies.

Required Skills

Artificial Intelligence Machine Learning Strategy Python TensorFlow Cloud Architecture Predictive Modeling NLP Ethics in AI

Ready to Take This Challenge?

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