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Information Technology 🏒 Full Time ⭐️ Verified

Senior 2026 AI Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are redefining the boundaries of artificial intelligence and next-generation computing. Nexus Future Systems is seeking a visionary Senior 2026 AI Architect to lead the development of our proprietary quantum-ready neural networks. If you are passionate about building systems that will power the world in 2026 and beyond, we want to meet you.

In this role, you will bridge the gap between theoretical machine learning and practical, scalable infrastructure. You will be responsible for designing the core architecture that integrates Large Language Models with high-frequency trading algorithms and predictive analytics.

Why Join Us?

  • Work with cutting-edge technology ahead of the mainstream market.
  • Competitive equity package and top-tier compensation.
  • Flexible remote-first policy with quarterly co-working retreats.

Responsibilities

  • Design and implement scalable AI architectures optimized for the 2026 tech stack, focusing on low-latency processing.
  • Lead the migration of legacy systems to next-generation quantum-resistant encryption standards.
  • Collaborate with cross-functional teams to define product requirements for autonomous agents.
  • Oversee the training and fine-tuning of proprietary Large Language Models (LLMs).
  • Conduct code reviews and mentor junior engineers in best practices for distributed systems.
  • Ensure system reliability, security, and performance under high load.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 8+ years of experience in software engineering, with at least 4 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and Rust.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of deploying AI models that handle petabytes of data.
  • Strong understanding of distributed systems theory and microservices architecture.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch Cloud Architecture Distributed Systems Rust Quantum Computing System Design

Ready to Take This Challenge?

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