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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Senior AI Strategy Architect | 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are building the infrastructure for tomorrow. Nexus Future Labs is seeking a visionary Senior AI Strategy Architect to lead our 2026 roadmap. In this pivotal role, you will bridge the gap between cutting-edge generative AI technology and high-level business strategy.

If you are passionate about shaping the ethical and functional future of artificial intelligence and want to work at the forefront of innovation, we want to meet you.

Responsibilities

  • Define the 2026 AI Roadmap: Lead the strategic vision for our AI integration, ensuring alignment with long-term business goals and emerging tech trends.
  • Ethical AI Governance: Establish frameworks and guidelines to ensure responsible, bias-free, and transparent AI deployment.
  • Stakeholder Collaboration: Partner with C-suite executives, engineering teams, and product managers to translate complex technical concepts into actionable business strategies.
  • Market Analysis: Monitor global AI trends, competitor activities, and regulatory changes to maintain a competitive edge.
  • Pilot Program Management: Oversee the execution and scaling of high-impact AI pilot projects across various departments.
  • Talent Development: Mentor junior strategists and foster a culture of innovation and continuous learning within the technology department.

Qualifications

  • Experience: 7+ years of experience in strategy, consulting, or technology management, with a specific focus on Artificial Intelligence or Machine Learning.
  • Technical Acumen: Deep understanding of Large Language Models (LLMs), neural networks, and generative AI architectures.
  • Strategic Mindset: Proven track record of defining and executing technology strategies that drive revenue and operational efficiency.
  • Communication: Exceptional ability to communicate complex technical ideas to non-technical stakeholders.
  • Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business Administration, or a related field.
  • Certifications: PMP, TOGAF, or AI Ethics certification is a plus.

Required Skills

Generative AI Machine Learning Strategy Neural Networks Ethics Cloud Architecture Stakeholder Management

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