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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Tech Architect

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

Are you ready to shape the technological landscape of 2026 and beyond? Nexus Horizon Labs is seeking a visionary Senior AI & Future Tech Architect to spearhead the development of next-generation artificial intelligence systems. In this role, you won't just be writing code; you will be architecting the future, ensuring our AI solutions are scalable, ethical, and transformative.

We are looking for a thought leader who thrives in ambiguity and is passionate about pushing the boundaries of what's possible. You will define the architectural standards for our AI infrastructure, working at the intersection of machine learning, neural networks, and large-scale distributed systems.

Responsibilities

  • Architect Scalable AI Solutions: Design and implement robust, scalable AI architectures that power our core product offerings and future iterations.
  • Future-Proofing Strategy: Anticipate emerging tech trends (e.g., AGI, Neural Interfaces) and integrate them into our long-term roadmap.
  • Ethical AI Governance: Establish and enforce guidelines for responsible AI development to mitigate bias, ensure transparency, and prioritize safety.
  • Cross-Functional Leadership: Collaborate with product, engineering, and design teams to translate complex concepts into actionable technical strategies.
  • Prototype Development: Rapidly prototype high-impact AI features to validate concepts before full-scale implementation.
  • Performance Optimization: Continuously monitor, optimize, and refine AI models for latency, accuracy, and efficiency.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • Experience: 7+ years of experience in software engineering, with at least 3 years focused on AI/ML architecture and system design.
  • Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, Docker).
  • Leadership: Proven track record of leading technical teams, managing large-scale projects, and mentoring junior engineers.
  • Strategic Vision: Ability to think critically about long-term technology implications and align them with business goals.

Required Skills

Python Machine Learning Neural Networks System Architecture AI Ethics TensorFlow PyTorch Cloud Computing Kubernetes

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