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Lead AI Architect | 2026 Vision | San Francisco

Apex Systems
San Francisco
Estimated Salary
USD 195.000 – USD 265.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Lead AI Architect to define the infrastructure for the year 2026. At Apex Systems, we are not just building software; we are engineering the future of intelligent computing. You will be at the forefront of the next tech revolution, designing scalable, ethical, and transformative AI solutions that will set the industry standard.

Why Join Us?

Work with a world-class team of engineers and data scientists. We offer competitive compensation, equity, and the unique opportunity to shape the trajectory of future technology. If you are passionate about Artificial Intelligence, Machine Learning, and building systems that matter, we want to hear from you.

Responsibilities

  • Future-Proof Architecture: Design high-level system architectures for enterprise-level AI and ML solutions, anticipating trends for 2026 and beyond.
  • Strategic R&D: Lead research initiatives into emerging technologies, including Generative AI, Neural Interfaces, and Edge Computing.
  • Team Leadership: Mentor and lead a high-performing engineering team, fostering a culture of innovation, technical excellence, and continuous learning.
  • Technical Governance: Establish coding standards, review technical designs, and ensure best practices are followed across all projects.
  • Stakeholder Collaboration: Partner with C-suite executives and product managers to translate business goals into technical roadmaps.
  • Performance Optimization: Oversee the deployment of complex models, ensuring high performance, low latency, and cost efficiency.
  • Innovation Labs: Prototype and validate cutting-edge technologies to stay ahead of the competition.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field; PhD in AI/ML is a strong plus.
  • Experience: Minimum 8+ years of experience in software architecture, with at least 3 years in a leadership role within AI/ML.
  • Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS, Azure, or GCP).
  • Leadership: Proven track record of managing diverse engineering teams and delivering complex, high-stakes projects on time.
  • Problem Solving: Exceptional analytical skills with a focus on designing scalable, future-ready systems.
  • Communication: Excellent verbal and written communication skills, capable of bridging the gap between technical teams and non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Software Architecture Python TensorFlow Cloud Computing Leadership R&D Generative AI

Ready to Take This Challenge?

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

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