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Lead AI Strategist (2026 Vision)

Apex Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are on the precipice of a technological singularity. Apex Horizon Labs is seeking a visionary Lead AI Strategist to architect the solutions that will define the year 2026 and beyond.

In this role, you won't just implement existing models; you will design the neural pathways of tomorrow. You will lead a world-class team in developing autonomous systems, predictive analytics engines, and next-gen generative AI interfaces.

Our mission is to bridge the gap between current capabilities and the future of human-machine collaboration. If you are obsessed with scalability, ethics in AI, and building systems that think, we want to hear from you.

Responsibilities

  • Define and execute the long-term AI strategy for the 2026 roadmap, aligning technical vision with business goals.
  • Design and deploy scalable machine learning infrastructure on cloud-native environments.
  • Lead research initiatives into cutting-edge technologies including Large Language Models (LLMs) and Computer Vision.
  • Collaborate with product and engineering teams to integrate AI solutions into core products seamlessly.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Ensure data privacy, security, and ethical compliance across all AI deployments.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent professional experience).
  • 10+ years of experience in software engineering and machine learning, with at least 5 years in a leadership or architect role.
  • Deep expertise in Python, TensorFlow, PyTorch, and Hugging Face.
  • Proven track record of shipping high-impact AI products to market.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker/Kubernetes).
  • Strong understanding of system architecture, distributed systems, and MLOps practices.

Required Skills

Python TensorFlow PyTorch AWS GCP Docker Kubernetes AI/ML NLP Computer Vision MLOps System Architecture

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