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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Horizon Strategy

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

Job Description

Are you ready to define the future of artificial intelligence? Nexus Future Labs is seeking a visionary Senior AI Architect to lead our strategic initiatives for the 2026 horizon. In this pivotal role, you will design scalable, cutting-edge neural architectures that push the boundaries of generative AI and agentic systems.

We are looking for a thought leader who not only understands the code but also the ethical implications of deploying AGI-ready models. You will work closely with our product and research teams to bridge the gap between theoretical breakthroughs and production-grade applications.

Why Join Us?
We offer a competitive compensation package, equity options, and the unique opportunity to shape the trajectory of AI technology. Our culture is built on innovation, transparency, and a relentless pursuit of excellence.

Responsibilities

  • Architect and deploy scalable Machine Learning infrastructure optimized for 2026 requirements.
  • Lead the design of next-generation Large Language Models (LLMs) and multimodal systems.
  • Define technical roadmaps and best practices for AI model training, fine-tuning, and deployment.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Mentor junior engineers and researchers, fostering a culture of continuous learning and innovation.
  • Ensure compliance with ethical AI standards and safety protocols in all deployments.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • Minimum of 5+ years of experience in designing AI systems and deploying ML models at scale.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Strong background in Natural Language Processing (NLP) and Large Language Model architecture.
  • Experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning NLP TensorFlow PyTorch Cloud Computing Kubernetes System Design AI Ethics

Ready to Take This Challenge?

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