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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Lead AI Strategist - Shaping the 2026 Roadmap

Apex Future Labs
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Lead AI Strategist to architect the technological landscape for the year 2026. At Apex Future Labs, we are not just building for today; we are engineering the solutions of tomorrow. You will be at the forefront of defining the next generation of generative intelligence, autonomous systems, and human-machine collaboration.

In this high-impact role, you will bridge the gap between theoretical AI research and scalable production systems. We need a thought leader who understands the nuances of the 2026 tech ecosystem to guide our engineering teams toward breakthrough innovations.

Responsibilities

  • Architect Future-Ready AI Systems: Design and implement cutting-edge artificial intelligence architectures that define the 2026 product roadmap.
  • Drive Strategic Innovation: Identify and evaluate emerging technologies (e.g., LLMs, AGI, Quantum Computing integration) to maintain a competitive edge.
  • Lead Technical Teams: Mentor a diverse team of data scientists and engineers, fostering a culture of creativity and technical excellence.
  • Optimize Performance: Oversee the deployment of scalable cloud infrastructure, ensuring high availability and low-latency AI inference.
  • Define Ethical Guidelines: Establish robust frameworks for AI ethics, bias mitigation, and responsible AI governance.
  • Stakeholder Communication: Translate complex technical concepts into clear strategies for executive leadership and product managers.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 7+ years of experience in AI/ML engineering with at least 2 years in a leadership or architectural role.
  • Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, and experience with Large Language Models (LLMs) and NLP.
  • System Design: Strong background in distributed systems, microservices, and cloud architecture (AWS, Azure, or GCP).
  • Strategic Mindset: Proven ability to translate business goals into technical roadmaps with a focus on long-term scalability.
  • Creative Problem Solving: A passion for solving complex problems and a forward-thinking approach to technological trends.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning System Architecture Cloud Computing Leadership

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