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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: Shaping the 2026 Landscape

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to lead the strategic development of our proprietary systems designed for the 2026 era. As we stand on the precipice of the next technological revolution, you will be instrumental in designing scalable, secure, and ethical AI infrastructure that sets the standard for the industry.

In this role, you will bridge the gap between theoretical machine learning breakthroughs and production-ready engineering. You will work closely with our R&D division to define the roadmap for artificial general intelligence (AGI) readiness, ensuring our platforms are robust, adaptable, and future-proof.

Why Join Us?

  • Work on cutting-edge projects that define the future of technology.
  • Competitive compensation package including equity.
  • Flexible remote-first policy with a premium co-working hub in San Francisco.
  • Continuous learning budget for conferences and certifications.

Responsibilities

  • Design and architect end-to-end AI solutions with a focus on scalability and 2026-era computational requirements.
  • Lead a team of data scientists and ML engineers to implement complex algorithms and neural network architectures.
  • Define technical roadmaps and best practices for machine learning operations (MLOps) and data governance.
  • Conduct rigorous code reviews and performance optimization to ensure system stability under high load.
  • Collaborate with product management to translate strategic business goals into technical specifications.
  • Stay ahead of industry trends, specifically focusing on emerging paradigms in quantum computing and spatial AI.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Minimum of 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, or equivalent frameworks.
  • Proven experience designing microservices and distributed systems.
  • Strong understanding of natural language processing (NLP) and computer vision.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning System Design MLOps AWS Kubernetes NLP Computer Vision

Ready to Take This Challenge?

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