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Information Technology 🏒 Full Time ⭐️ Verified

AI Strategist & Visionary Engineer - 2026 Roadmap

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are at the precipice of a technological revolution. As we look toward the year 2026, our mission is to define the trajectory of Artificial General Intelligence (AGI). We are seeking a Senior AI Strategist & Engineer to lead our core research division and architect the systems that will define the next decade.

In this role, you won't just write code; you will build the future. You will work alongside world-class researchers to solve the most complex problems in machine learning, ensuring our systems are scalable, ethical, and ready for the demands of 2026 and beyond.

Why Join Us?

  • Impactful Work: Directly influence the global standards for AI safety and scalability.
  • Top-Tier Compensation: Competitive salary, equity, and performance bonuses.
  • Modern Environment: Work in a state-of-the-art facility in the heart of San Francisco.

Responsibilities

  • Lead the architectural design of next-generation Large Language Models (LLMs) and neural architectures.
  • Define and implement the technical roadmap for the critical 2026 AI release cycle.
  • Collaborate with cross-functional teams to integrate advanced AI solutions into enterprise platforms.
  • Ensure strict compliance with emerging AI ethics, safety, and bias mitigation regulations.
  • Optimize model inference speeds and reduce computational costs by up to 40%.
  • Conduct cutting-edge research in reinforcement learning and generative adversarial networks.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 7+ years of professional experience in AI/ML engineering, with 3+ years in a leadership role.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern MLOps pipelines.
  • Proven track record of deploying scalable machine learning models in high-volume production environments.
  • Strong understanding of neural architecture search and model compression techniques.
  • Excellent communication skills for technical leadership and stakeholder management.

Required Skills

Python Machine Learning Deep Learning AI Architecture TensorFlow PyTorch NLP Reinforcement Learning MLOps Distributed Systems

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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