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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: Shaping the Future of 2026

Nebula Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to define the technological landscape of tomorrow?

Nebula Systems is seeking a visionary Senior AI Architect to lead our cutting-edge initiatives. As we gear towards the pivotal year of 2026, we are building the next generation of autonomous systems and predictive intelligence platforms. You will not just be implementing existing solutions; you will architect the frameworks that will power our products for the next decade. Join a team of elite engineers and strategists dedicated to pushing the boundaries of what is possible.

Why Join Us?

  • Work on groundbreaking Agentic AI technologies.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with premium San Francisco office access.
  • Access to state-of-the-art compute resources and research.

Responsibilities

  • Strategic Vision: Lead the architectural design of scalable, secure, and efficient AI systems tailored for the 2026 market landscape.
  • Agentic AI Development: Spearhead the development of autonomous agents capable of complex decision-making and self-improvement loops.
  • Trend Forecasting: Identify emerging technologies in machine learning and large language models to integrate into our core infrastructure.
  • Cross-Functional Leadership: Collaborate with product managers, data scientists, and engineers to translate high-level business requirements into technical blueprints.
  • Ethical AI Compliance: Ensure all AI systems adhere to global ethical guidelines and bias mitigation standards.
  • System Optimization: Oversee the deployment and continuous optimization of cloud-based AI infrastructure to ensure high availability and low latency.

Qualifications

  • Experience: Minimum of 8+ years of experience in software engineering, with at least 4 years in specialized AI/ML architecture roles.
  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Technical Mastery: Deep expertise in Python, TensorFlow, PyTorch, and modern MLOps tools (Kubernetes, Docker).
  • Strategic Thinking: Proven track record of leading technical roadmaps and delivering large-scale projects on time.
  • Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders and executive leadership.
  • Problem Solving: Demonstrated ability to troubleshoot complex system failures and innovate under pressure.

Required Skills

AI Architecture Machine Learning Deep Learning Python MLOps Cloud Computing Kubernetes Agile Methodology Strategic Planning

Ready to Take This Challenge?

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

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