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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Platform

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are looking for a visionary Senior AI Architect to lead the technical evolution of our flagship platform, 2026. As we prepare to launch the next generation of autonomous neural interfaces, you will be at the helm of designing the core infrastructure that powers intelligent decision-making at scale.

In this high-impact role, you will bridge the gap between theoretical research and production-grade engineering. You will define architectural standards, mentor a team of top-tier engineers, and ensure our systems are resilient, secure, and scalable.

Why Join Us?

  • Work on a revolutionary project that defines the future of AI.
  • Competitive compensation package and equity options.
  • Flexible remote-first policy with a focus on innovation.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of scalable microservices and distributed AI models for the 2026 platform.
  • Technical Vision: Define the long-term technical roadmap for the 2026 ecosystem, ensuring alignment with business goals.
  • Code Quality: Establish and enforce best practices for coding, testing, and deployment in high-stakes environments.
  • Mentorship: Guide and mentor junior and senior engineers, fostering a culture of continuous learning and excellence.
  • Performance Optimization: Identify bottlenecks in data pipelines and model inference, implementing solutions to maximize throughput.
  • Stakeholder Management: Communicate complex technical concepts to non-technical stakeholders and executive leadership.

Qualifications

  • Education: Master’s or PhD in Computer Science, Machine Learning, or a related field.
  • Experience: 7+ years of experience in software engineering, with at least 3 years in AI/ML architecture.
  • Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; experience with distributed systems (Kubernetes, Docker).
  • Platform Knowledge: Deep understanding of the 2026 framework and its specific API requirements.
  • Problem Solving: Strong ability to troubleshoot complex system failures and design fault-tolerant architectures.
  • Communication: Exceptional written and verbal communication skills.

Required Skills

Python Machine Learning Architecture Kubernetes Docker PyTorch TensorFlow Distributed Systems SQL Cloud Computing

Ready to Take This Challenge?

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