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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - 2026

2026
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
5 Juni 2026
Deadline
5 Jun 2027

Job Description

Join 2026, a pioneering force in next-generation predictive analytics and quantum-inspired computing. We are looking for a visionary Lead AI Architect to spearhead the development of our flagship neural engine. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to build systems that define the future of technology, this is your opportunity.


At 2026, we don't just predict trends; we engineer the future. We are a remote-first culture based in the heart of Silicon Valley, dedicated to solving the most complex computational challenges of the decade.

Responsibilities

  • Architect and deploy scalable machine learning infrastructure capable of processing petabytes of real-time data.
  • Lead a high-performing team of data scientists and engineers to innovate proprietary algorithms.
  • Define the technical vision and roadmap for 2026's core AI products, ensuring alignment with business goals.
  • Collaborate with cross-functional teams including product management and engineering to translate research into production-ready applications.
  • Mentor junior developers and conduct code reviews to maintain high engineering standards.
  • Stay abreast of the latest advancements in deep learning and distributed systems to integrate cutting-edge techniques.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field (PhD preferred).
  • Minimum of 7 years of professional experience in machine learning engineering or data science.
  • Expert proficiency in Python, TensorFlow, PyTorch, and SQL.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of leading large-scale data initiatives from conception to deployment.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes Machine Learning Deep Learning SQL Data Architecture

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