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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Future of Intelligence

We are seeking a visionary Senior AI Architect to lead our groundbreaking Project 2026. As a pioneer in next-generation generative AI, Nexus Future Labs is building the infrastructure that will define the next decade of human-machine interaction. If you are a technical leader passionate about pushing the boundaries of what is possible, this is your opportunity to architect systems that will scale globally.

Why Join Us?

  • Work on high-impact projects that redefine industry standards.
  • Competitive compensation package including equity.
  • Flexible remote-first culture with a hub in San Francisco.

What You Will Do

You will be responsible for the end-to-end technical architecture of our 2026 roadmap, ensuring scalability, security, and performance at a massive scale.

Responsibilities

  • Define and communicate the long-term technical vision for Project 2026, translating business goals into robust engineering strategies.
  • Lead a high-performing team of engineers and data scientists to design scalable machine learning pipelines and distributed systems.
  • Oversee the implementation of cutting-edge AI models, ensuring they are production-ready and optimized for low latency.
  • Collaborate closely with product managers and stakeholders to prioritize features and manage technical debt.
  • Establish best practices for code quality, security (including AI safety), and deployment automation.
  • Mentor junior and mid-level engineers, fostering a culture of continuous learning and innovation.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a senior or leadership role.
  • Deep expertise in Python, Go, or Java, with hands-on experience in building large-scale distributed systems.
  • Proven track record of designing and deploying production-grade Machine Learning and AI infrastructure.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
  • Experience with LLMs, Transformers, and Natural Language Processing (NLP) architectures.
  • Excellent problem-solving skills and the ability to navigate ambiguity in a fast-paced environment.

Required Skills

Python Go Java Machine Learning Deep Learning System Design Kubernetes Docker AWS GCP LLMs NLP Leadership Agile Cloud Architecture

Ready to Take This Challenge?

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

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