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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are on the cusp of a revolution. 2026 Labs is a forward-thinking technology firm dedicated to engineering the infrastructure for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our research and development initiatives in predictive analytics and autonomous systems.

In this pivotal role, you will not just adapt to the future; you will define it. You will be responsible for architecting robust machine learning pipelines, mentoring elite engineering talent, and driving the technological innovations that will shape the next decade.

Join us in San Francisco and build the systems that will power the world of tomorrow.

Responsibilities

  • Architect Future-Proof Systems: Design and implement scalable AI architectures specifically tailored for the 2026 technological landscape.
  • Lead Research Initiatives: Spearhead R&D projects in Generative AI, Natural Language Processing, and Quantum Machine Learning.
  • Optimize Model Performance: Drive improvements in latency, accuracy, and resource efficiency for large-scale deployed models.
  • Mentor Engineering Talent: Foster a culture of technical excellence by guiding and mentoring junior data scientists and engineers.
  • Collaborate with Stakeholders: Translate complex technical concepts into strategic roadmaps for executive leadership and product teams.
  • Ensure Compliance & Ethics: Implement best practices for data privacy, algorithmic bias, and ethical AI usage.

Qualifications

  • Education: Master’s or PhD degree in Computer Science, Mathematics, Statistics, or a related field.
  • Experience: 7+ years of professional experience in AI/ML engineering, with at least 3 years in a lead or architectural role.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, AWS/GCP).
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems using data-driven methodologies.
  • Communication: Exceptional ability to communicate complex technical ideas to non-technical stakeholders.

Required Skills

Python Machine Learning AI TensorFlow PyTorch Kubernetes Cloud Computing Data Architecture Natural Language Processing

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