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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Systems Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Architect the Future at Nexus Future Labs

We are on a mission to define the technological landscape of 2026 and beyond. Nexus Future Labs is seeking a visionary Senior AI & Future Systems Architect to lead our research and development initiatives. In this role, you will bridge the gap between theoretical AI potential and practical, scalable engineering solutions. You will be responsible for designing the core infrastructure that powers our next-generation predictive models and autonomous systems, ensuring they are robust, secure, and future-proof.

Join a team of forward-thinkers and disruptors who are not just adapting to the future, but actively shaping it.

Responsibilities

  • Lead the architectural design and implementation of large-scale AI systems targeting deployment in 2026.
  • Define the technical roadmap for integrating emerging technologies (e.g., Quantum-ready algorithms, Edge AI) into our core products.
  • Conduct deep-dive technical analysis to assess feasibility and performance of novel AI models.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and excellence.
  • Collaborate with cross-functional product teams to translate business requirements into technical blueprints.
  • Ensure system scalability, security, and compliance with global data standards.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML systems design.
  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Expert proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure).
  • Proven track record of leading complex technical projects from conception to production.
  • Strong understanding of distributed systems, microservices, and containerization (Docker/Kubernetes).
  • Experience with data privacy regulations and ethical AI implementation.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python Cloud Computing Kubernetes TensorFlow Microservices Data Science Leadership

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