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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Roadmap)

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

Job Description

We are on a mission to architect the future of intelligent systems. As we gear up for the transformative era of 2026, Nexus Horizon Systems is seeking a visionary Senior AI Architect to lead our cutting-edge research and deployment initiatives. You will be responsible for designing the infrastructure that powers the next generation of artificial intelligence, ensuring scalability, ethics, and performance. If you want to define the technological landscape of the coming years, this is your opportunity to lead from the front.

Why Join Us?

  • Work on ground-breaking projects that define the 2026 AI landscape.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with state-of-the-art equipment.
  • Opportunity to mentor a world-class team of engineers and researchers.

Responsibilities

  • Design and implement scalable, high-performance AI and machine learning architectures tailored for the 2026 era.
  • Lead the research and development of Large Language Models (LLMs) and generative AI systems.
  • Establish and enforce best practices for AI ethics, transparency, and bias mitigation in automated systems.
  • Collaborate with cross-functional teams, including data scientists, product managers, and security experts.
  • Oversee the integration of AI solutions into existing enterprise infrastructures to drive operational efficiency.
  • Conduct rigorous performance testing and optimization to ensure low-latency inference.
  • Stay ahead of industry trends and regulatory changes affecting AI deployment.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering and machine learning architecture.
  • Proven track record of leading AI projects from conception to production deployment.
  • Deep expertise in Python, PyTorch, TensorFlow, and major cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of distributed systems, microservices, and containerization (Kubernetes/Docker).
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow Cloud Architecture AWS GCP Distributed Systems AI Ethics

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