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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Visionary Role)

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Shape the Future of Intelligence in 2026


We are not just looking for a developer; we are seeking a Visionary Architect to lead our next-gen AI initiatives. Nexus Horizon is pioneering the technological landscape of 2026, and we need a Senior AI Architect to design scalable, autonomous systems that redefine human-machine interaction.

In this pivotal role, you will bridge the gap between theoretical AI research and production-ready engineering. You will be responsible for architecting the core infrastructure that powers our 2026 roadmap, ensuring our solutions are not only cutting-edge but also robust, ethical, and scalable.

Join a team of forward-thinkers where your code will directly influence the future of technology. If you are passionate about the trajectory of AI and ready to build systems that matter, we want to hear from you.

Responsibilities

  • Architect Next-Gen Systems: Design and implement scalable AI architectures for autonomous agents and generative models.
  • Lead R&D Strategy: Define the technical roadmap for 2026, identifying emerging technologies and integrating them into our core stack.
  • System Optimization: Oversee the end-to-end lifecycle of AI models, from training and fine-tuning to deployment and monitoring in production environments.
  • Team Leadership: Mentor a high-performance engineering team, fostering a culture of innovation, technical excellence, and continuous learning.
  • Stakeholder Collaboration: Work closely with product managers and domain experts to translate complex business requirements into elegant technical solutions.
  • Ensure Ethical AI: Implement frameworks to ensure fairness, transparency, and accountability in all AI deployments.

Qualifications

  • Advanced Degree: MS or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 8+ years of professional experience in software engineering, with at least 4 years focused on AI/ML architecture.
  • Technical Mastery: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Docker).
  • Model Engineering: Proven track record of designing and deploying large-scale transformer models and generative AI systems.
  • Leadership: Demonstrated experience leading cross-functional teams and driving technical vision.
  • Problem Solving: Exceptional ability to solve complex, unstructured problems with elegant, scalable code.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Kubernetes Docker Cloud Architecture System Design Leadership

Ready to Take This Challenge?

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