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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Horizon)

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

Job Description

Join the Architects of Tomorrow.

We are Nexus Future Systems, a pioneer in next-generation artificial intelligence. As we prepare to launch our 2026 Horizon initiative, we are seeking a visionary Senior AI Architect to lead the design and deployment of our revolutionary neural networks.

In this role, you won't just write code; you will define the future of human-machine interaction. You will work at the intersection of deep learning, quantum computing, and ethical AI governance to build systems that are not only powerful but also responsible.

If you are a thought leader ready to tackle the challenges of the next decade, we want to hear from you.

Responsibilities

  • Architect Design: Spearhead the architectural design of large-scale, distributed neural networks capable of processing real-time, multi-modal data streams.
  • Pipeline Optimization: Oversee the end-to-end development lifecycle of Generative AI models, ensuring scalability, latency reduction, and high throughput.
  • Strategic Roadmap: Collaborate with the C-Suite to define technical roadmaps for our 2026 product releases, integrating cutting-edge research into production-ready solutions.
  • Ethical AI Compliance: Implement robust frameworks for AI safety, bias mitigation, and data privacy, adhering to emerging global regulations.
  • Talent Mentorship: Lead and mentor a high-performing team of machine learning engineers and data scientists, fostering a culture of innovation.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • Experience: 8+ years of professional experience in software engineering, with at least 5 years specifically focused on AI/ML architecture.
  • Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
  • Research Background: Proven track record of publishing research papers or implementing novel algorithms from state-of-the-art academic papers.
  • Leadership: Demonstrated ability to lead cross-functional teams and communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python Neural Networks System Architecture Deep Learning PyTorch TensorFlow Kubernetes Agile Methodology

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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