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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: Project 2026

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our ambitious Project 2026. As we push the boundaries of artificial intelligence and machine learning, we need a technical leader who can design scalable, robust, and future-proof systems. In this role, you will define the technical roadmap for our next-generation AI infrastructure, ensuring we are ahead of the curve by 2026 and beyond.

Why Join Nexus Horizon?

  • Work on cutting-edge technology that will shape the future of the industry.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with premium office amenities in the heart of San Francisco.

If you are passionate about solving complex problems and have a track record of delivering high-impact AI solutions, we want to hear from you.

Responsibilities

  • Architect and implement the core infrastructure for Project 2026, focusing on scalability and fault tolerance.
  • Lead a team of data scientists and engineers to translate research prototypes into production-ready models.
  • Define technical standards, coding guidelines, and best practices for AI development.
  • Collaborate with product leadership to identify high-impact AI opportunities that align with our long-term vision.
  • Ensure data security, privacy, and compliance with industry regulations.
  • Stay abreast of the latest advancements in AI/ML to drive innovation within the organization.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Spark, Kubernetes).
  • Proven track record of deploying large-scale machine learning models into production environments.
  • Strong leadership skills with experience mentoring engineering teams.
  • Excellent communication skills to bridge the gap between technical teams and non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Kubernetes Cloud Architecture Distributed Systems Leadership AI Strategy

Ready to Take This Challenge?

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