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Next-Generation AI Architect

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

Job Description

At Nexus Horizon Labs, we aren't just building for today; we are architecting the technological landscape of 2026 and beyond. We are seeking a visionary Next-Generation AI Architect to lead our research division in revolutionizing autonomous systems and neural interfaces. You will be at the forefront of innovation, defining the protocols that will govern the next decade of human-machine collaboration.

We offer a competitive compensation package, stock options, and an environment that fosters radical creativity and technical excellence.

Responsibilities

  • Lead the architectural design and implementation of proprietary large-scale machine learning models focused on predictive analytics and autonomous decision-making.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate complex research into scalable production solutions.
  • Define technical roadmaps and research directions that align with the company's long-term vision for the year 2026.
  • Optimize existing neural networks for speed, efficiency, and reduced energy consumption in edge computing environments.
  • Mentor junior engineers and architects, fostering a culture of continuous learning and technical excellence.
  • Conduct rigorous testing and validation of AI systems to ensure robustness, safety, and ethical compliance.

Qualifications

  • Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7+ years of experience in software engineering, with at least 4 years specifically focused on deep learning and machine learning architecture.
  • Expert proficiency in Python, TensorFlow, PyTorch, and CUDA.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/Azure/GCP), and containerization technologies.
  • Proven track record of deploying high-impact AI models in production environments.
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Deep Learning Machine Learning Distributed Systems Cloud Computing Neural Networks NLP GPU Optimization AWS Docker Kubernetes Agile Methodologies

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