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Senior AI Architect | 2026 Future Tech Focus | San Francisco, CA

Apex Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to define the technological landscape of 2026? Apex Future Systems is seeking a visionary Senior AI Architect to lead our next-generation agentic AI research division. In this role, you won't just implement existing models; you will architect the foundational systems that will power our clients' digital transformations a decade from now.

We are building the future of autonomous intelligence. If you thrive in a fast-paced, high-impact environment and want to be at the forefront of 2026 tech trends, this is your opportunity.

Why join us?

  • Work on cutting-edge Agentic AI and Multimodal LLMs.
  • Competitive equity and salary packages.
  • Flexible remote-first culture with premium office amenities in SF.

Responsibilities

  • Architect Next-Gen AI Systems: Design and deploy scalable autonomous agents and multimodal LLMs tailored for enterprise applications.
  • Pioneering Research: Conduct R&D on emerging technologies to prepare our infrastructure for the year 2026 and beyond.
  • Model Optimization: Lead efforts in fine-tuning and optimizing large-scale models for latency, accuracy, and cost-efficiency.
  • Ethical AI Governance: Establish frameworks for responsible AI, ensuring compliance with emerging global regulations.
  • Technical Leadership: Mentor a team of talented ML engineers and data scientists, fostering a culture of innovation.
  • Stakeholder Communication: Translate complex technical concepts into strategic insights for C-suite executives and clients.

Qualifications

  • Education: Master’s degree in Computer Science, AI, or a related technical field (PhD preferred).
  • Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a senior architectural role.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and cloud platforms (AWS/GCP).
  • Domain Knowledge: Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Problem Solving: Proven track record of solving complex, large-scale system problems.
  • Communication: Exceptional written and verbal communication skills in English.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow AWS Cloud Architecture Agile Leadership

Ready to Take This Challenge?

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