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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Solutions Architect

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

At Nexus Horizon Solutions, we are not just predicting the future; we are architecting it. We are looking for a visionary Future-Ready AI Solutions Architect to join our elite team in San Francisco. This strategic role is dedicated to defining the technological roadmap for 2026 and beyond, focusing on next-generation artificial intelligence, generative models, and autonomous systems that will redefine industry standards.

In this position, you will bridge the gap between cutting-edge research and scalable production systems. You will lead a cross-functional team of engineers and data scientists to build the intelligent core of our 2026 vision, ensuring our solutions are ethical, efficient, and groundbreaking.

Why Join Us?
We offer a competitive package, equity packages, and the opportunity to work on projects that matter. If you are passionate about the future of AI and want to shape the landscape of 2026, we want to hear from you.

Responsibilities

  • Architect Future-Proof Systems: Lead the architectural design and implementation of large-scale AI systems for the 2026 product roadmap.
  • Next-Gen Model Integration: Oversee the integration of emerging generative AI models and next-gen neural architectures into production environments.
  • Strategic Roadmap Planning: Collaborate with C-level executives to define technical strategies that align with the company's 2026 vision.
  • High-Performance Computing: Optimize infrastructure for high-volume data processing and real-time AI inference.
  • Ethical AI Leadership: Establish and enforce guidelines for responsible AI, ensuring fairness, transparency, and safety in all automated systems.
  • Team Mentorship: Mentor junior architects and engineers, fostering a culture of continuous learning and innovation.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • Experience: 8+ years of experience in software engineering, with at least 4 years in AI/ML architecture and leadership.
  • Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and experience with distributed systems (Kubernetes, AWS/GCP).
  • Generative AI: Deep understanding of Large Language Models (LLMs), diffusion models, and their deployment patterns.
  • Communication: Exceptional ability to translate complex technical concepts into clear business value for stakeholders.
  • Innovation: A proven track record of innovating in fast-paced environments and a passion for the technologies of 2026 and beyond.

Required Skills

Python TensorFlow PyTorch MLOps Cloud Architecture Kubernetes AWS GCP Generative AI Large Language Models (LLMs) Machine Learning Engineering

Ready to Take This Challenge?

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