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Information Technology 🏒 Full Time ⭐️ Verified

AI Architect - 2026 Visionary Strategy

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

Job Description

We are seeking a visionary AI Architect to define the technological roadmap for 2026 and beyond. Nexus Future Tech is pioneering the next generation of intelligent systems, and we need a leader who can bridge the gap between cutting-edge research and scalable production solutions.

In this pivotal role, you will spearhead the integration of generative AI into our core infrastructure, ensuring our platforms are future-proofed for the rapid evolution of the industry. You will work alongside world-class engineers and product strategists to build systems that don't just meet current demands but anticipate the landscape of 2026.

Why Join Us?

  • Work on projects that define the future of technology.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with premium benefits.

Responsibilities

  • Architect and design scalable machine learning pipelines and generative AI models for the 2026 product roadmap.
  • Lead technical strategy sessions to identify emerging AI trends and implement them into our stack.
  • Collaborate with cross-functional teams (Data Science, Product, Engineering) to translate business requirements into technical solutions.
  • Optimize existing infrastructure for high-performance inference and model training efficiency.
  • Establish best practices for MLOps, ensuring reproducibility and model governance.
  • Conduct code reviews and mentor junior engineers on advanced AI architectures.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 8+ years of experience in software engineering, with at least 4 years specifically focused on AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern cloud platforms (AWS/GCP/Azure).
  • Proven track record of deploying large-scale LLMs (Large Language Models) or Generative AI applications.
  • Strong understanding of distributed systems, microservices, and database design.
  • Exceptional problem-solving skills and ability to thrive in a fast-paced, ambiguous environment.

Required Skills

Python Machine Learning Artificial Intelligence System Design Deep Learning Cloud Computing MLOps TensorFlow PyTorch AWS Leadership

Ready to Take This Challenge?

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