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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect at 2026

2026
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future? 2026 is a cutting-edge technology think-tank and development firm dedicated to building the infrastructure for the next decade. We are not just predicting the future; we are engineering it.

We are seeking a visionary Lead AI Architect to join our elite team in San Francisco. In this role, you will define the architectural strategy for our next-generation artificial intelligence systems, ensuring scalability, security, and innovation at the highest level.

If you are passionate about pushing the boundaries of what is possible in machine learning and systems design, we want to meet you.

Responsibilities

  • Architectural Leadership: Design and oversee the development of scalable, high-performance AI systems and infrastructure for 2026.
  • Strategic Vision: Define the technical roadmap for AI initiatives, aligning them with long-term business goals and industry trends.
  • Team Mentorship: Lead, mentor, and inspire a high-performing team of data scientists, ML engineers, and researchers.
  • Technical Oversight: Conduct code reviews, perform technical architecture assessments, and ensure best practices are followed across all projects.
  • Collaboration: Partner with cross-functional teams including product managers, engineers, and stakeholders to translate business requirements into technical solutions.
  • Research & Innovation: Stay at the forefront of AI advancements (LLMs, Neural Networks, Quantum Computing integration) and integrate relevant technologies.

Qualifications

  • Experience: 8+ years of experience in software engineering and at least 5 years in a lead or architectural role within AI/ML.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks. Strong understanding of cloud platforms (AWS, GCP, or Azure).
  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • Leadership: Proven track record of leading diverse engineering teams and managing complex projects from conception to deployment.
  • Communication: Exceptional verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.
  • Problem Solving: Demonstrated ability to solve ambiguous problems and make high-impact decisions under pressure.

Required Skills

Python Machine Learning System Design Cloud Computing AWS TensorFlow Leadership Architecture Neural Networks

Ready to Take This Challenge?

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