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Senior AI Strategy Lead (2026 Vision)

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

Job Description

We are looking for a visionary leader to steer our technology roadmap into 2026 and beyond. As the Senior AI Strategy Lead (2026 Vision), you will bridge the gap between emerging technologies and business goals, ensuring our infrastructure is future-proof and scalable. You will be at the forefront of defining how artificial intelligence integrates into our core products, setting the tone for the next era of innovation.

Join a team that values cutting-edge thinking, radical transparency, and exponential growth. If you are passionate about the future of tech and want to leave a lasting legacy, we want to hear from you.

Responsibilities

  • Define the 2026 Roadmap: Lead the strategic planning process to align technical capabilities with long-term business objectives, specifically focusing on AI integration and automation.
  • Technical Vision: Architect scalable systems and propose innovative solutions that leverage AI, Machine Learning, and Quantum Computing for competitive advantage.
  • Stakeholder Management: Collaborate with C-suite executives, product managers, and engineering leads to translate complex technical concepts into actionable business strategies.
  • Innovation Labs: Oversee internal R&D initiatives and hackathons to foster a culture of experimentation and breakthrough discovery.
  • Talent Acquisition: Recruit and mentor top-tier engineering talent, building a high-performing team capable of executing the 2026 vision.
  • Security & Ethics: Ensure all AI implementations adhere to strict data privacy regulations and ethical AI standards.

Qualifications

  • Experience: 10+ years of experience in software engineering, data science, or strategic technology consulting, with at least 5 years in a leadership role.
  • Tech Stack: Deep understanding of AI/ML frameworks (TensorFlow, PyTorch), cloud architectures (AWS, Azure), and distributed systems.
  • Strategic Mindset: Proven track record of successfully launching and scaling technology initiatives that drive revenue and efficiency.
  • Education: Master’s degree in Computer Science, Data Science, Engineering, or an MBA with a technical focus.
  • Communication: Exceptional ability to communicate complex technical strategies to non-technical stakeholders and investors.
  • Adaptability: Demonstrated ability to thrive in fast-paced, ambiguous environments and pivot strategies based on market data.

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Cloud Architecture Agile Methodologies Data Science Leadership Python TensorFlow

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