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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Readiness

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

Job Description

We are building the infrastructure for the future. Nexus Horizon Labs is seeking a visionary Senior AI Architect to spearhead our '2026 Readiness' initiative. In this pivotal role, you will not simply maintain current systems; you will architect the foundational intelligence that will define our market leadership by the year 2026. We are looking for a leader who thrives on ambiguity and possesses the technical prowess to deploy scalable, ethical, and transformative AI systems.

Why Join Us?
We are a forward-thinking collective of engineers, ethicists, and futurists dedicated to solving humanity's most complex challenges through advanced technology. By joining our team, you will have the unique opportunity to shape the AI landscape of tomorrow, today.

Responsibilities

  • Architect Future Systems: Lead the high-level design of large-scale AI models and neural networks designed to power enterprise solutions in 2026 and beyond.
  • Scalability & Performance: Oversee the integration of emerging technologies into legacy infrastructures, ensuring seamless scalability and zero-latency performance.
  • Ethical AI Governance: Define and enforce rigorous AI ethics, bias mitigation, and compliance standards to ensure responsible deployment.
  • Strategic Roadmapping: Translate the company's long-term 2026 vision into actionable technical roadmaps and KPIs.
  • Technical Mentorship: Mentor a team of brilliant engineers and foster a culture of continuous innovation and technical excellence.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 10+ years of experience in software architecture, with at least 5 years in leading AI/ML initiatives.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Cloud Mastery: Proven experience architecting solutions on AWS, Azure, or GCP with a focus on serverless and microservices.
  • Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow AWS Azure Cloud Architecture Ethics in AI Scalability Leadership

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