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Senior AI & Future Tech Strategist (2026 Vision)

OmniFuture Corp
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Senior AI & Future Tech Strategist (2026 Vision) to lead our initiatives in next-generation artificial intelligence and emerging technologies. As we look toward the horizon of 2026, our team is building the foundational architectures that will define the digital landscape for the next decade. If you are passionate about the future of tech and possess the strategic foresight to navigate uncharted territories, we want to meet you.

In this pivotal role, you will bridge the gap between theoretical innovation and practical application, ensuring our products remain at the cutting edge of industry standards. You will work closely with C-suite executives and engineering teams to translate future trends into actionable roadmaps.

Responsibilities

  • Strategic Visioning: Define and articulate the technical roadmap for AI integration leading up to 2026, identifying emerging trends in machine learning and automation.
  • Leadership & Mentorship: Lead a high-performing team of data scientists and engineers, fostering a culture of innovation and continuous learning.
  • Architecture Design: Design scalable, secure, and efficient AI architectures that can handle future scalability demands.
  • Stakeholder Collaboration: Partner with product managers and business stakeholders to align technical capabilities with commercial goals.
  • Future-Proofing: Research and prototype new technologies (e.g., quantum computing interfaces, advanced neural networks) to stay ahead of the competition.
  • Process Optimization: Streamline workflows and implement CI/CD pipelines specifically tailored for rapid deployment of AI models.

Qualifications

  • Experience: Minimum of 8-10 years of experience in software engineering, artificial intelligence, or a related technical field.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
  • Technical Expertise: Deep understanding of machine learning frameworks (TensorFlow, PyTorch) and big data technologies (Spark, Hadoop).
  • Strategic Mindset: Proven ability to think long-term and translate complex technical concepts into business value.
  • Communication: Exceptional written and verbal communication skills, capable of presenting to diverse audiences.
  • Certification: Relevant certifications in AI/ML (e.g., AWS Certified Machine Learning Specialty) are a plus.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow Data Strategy Leadership System Architecture Cloud Computing Future Tech

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