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Lead AI Strategist (2026 Horizon)

OmniFuture Systems
San Francisco
Estimated Salary
USD 140.000 – USD 210.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Are you ready to architect the technological landscape of 2026? OmniFuture Systems is seeking a visionary Lead AI Strategist to define our next-generation artificial intelligence roadmap. In this pivotal role, you will bridge the gap between theoretical AI potential and practical, scalable implementation, ensuring our solutions remain at the forefront of the industry.

We are looking for a thought leader who isn't just using current tools but is actively shaping the tools of tomorrow. Join a diverse team of engineers, data scientists, and product designers committed to building a sustainable, intelligent future.

Responsibilities

  • Define and execute the strategic AI roadmap for products launching in the 2026 cycle, focusing on predictive modeling and generative AI.
  • Lead high-impact R&D initiatives to explore emerging technologies (e.g., quantum computing integration, neuromorphic chips).
  • Collaborate with cross-functional teams to integrate AI solutions into core product architecture, ensuring scalability and security.
  • Mentor junior data scientists and engineers, fostering a culture of continuous learning and innovation.
  • Conduct market analysis to identify emerging AI trends and assess their potential impact on business strategy.
  • Oversee the deployment of ethical AI frameworks to ensure compliance and responsible data usage.
  • Present complex technical concepts to executive stakeholders to drive investment and alignment.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 8 years of experience in software engineering, machine learning, or data science leadership roles.
  • Proven track record of leading AI strategy and implementation for large-scale enterprise applications.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern cloud infrastructure (AWS/Azure/GCP).
  • Strong understanding of machine learning algorithms, natural language processing (NLP), and computer vision.
  • Exceptional leadership skills with the ability to influence and motivate diverse teams.
  • Excellent communication skills, with the ability to translate technical jargon into business value.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow Strategic Planning Cloud Architecture Leadership NLP Predictive Analytics

Ready to Take This Challenge?

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