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Senior AI Architect (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect (2026 Vision) to lead our advanced research division. At Nexus Horizon Labs, we are building the foundational technologies that will define the era of 2026 and beyond. You will be at the forefront of integrating Generative AI with next-gen hardware, creating systems that are not just smart, but sentient-ready.

In this pivotal role, you will bridge the gap between theoretical machine learning and practical, scalable deployment. You will work alongside quantum computing researchers and neuro-interfaces specialists to architect the future of human-computer interaction.

Responsibilities

  • Lead Strategic AI Development: Define and execute the technical roadmap for core AI systems aligned with the 2026 product vision, ensuring scalability and ethical AI compliance.
  • Architect Next-Gen Models: Design and optimize large-scale neural networks, focusing on low-latency inference and energy-efficient processing for edge devices.
  • Cross-Functional Collaboration: Partner with software engineers, data scientists, and product managers to integrate AI capabilities into seamless user experiences.
  • Pioneering Research: Explore emerging paradigms such as Reinforcement Learning from Human Feedback (RLHF) and multimodal learning to enhance model adaptability.
  • Code Review & Mentorship: Establish coding standards and mentor junior architects, fostering a culture of innovation and technical excellence.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Technical Proficiency: Extensive experience with Python, TensorFlow, PyTorch, and Hugging Face Transformers.
  • Experience: 7+ years of experience in machine learning engineering, with a focus on large language models (LLMs) or generative AI.
  • System Design: Strong background in distributed systems, microservices architecture, and cloud infrastructure (AWS/GCP/Azure).
  • Problem Solving: Demonstrated ability to tackle complex, ambiguous problems and deliver robust solutions under tight deadlines.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Deep Learning NLP System Design Cloud Computing AWS Agile Methodologies

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