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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Architect (2026 Roadmap)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to architect the future of technology? Nexus Horizon Labs is seeking a visionary Future-Ready AI Architect to define our roadmap through 2026 and beyond. In this pivotal role, you will lead the development of next-generation neural networks, ensuring our solutions remain at the cutting edge of artificial intelligence. Join a team of elite engineers dedicated to solving humanity's most complex challenges.

We offer a competitive compensation package, equity options, and an environment that fosters innovation and rapid growth.

Responsibilities

  • Architect and implement scalable AI infrastructure designed to support enterprise needs through 2026.
  • Lead the research and development of proprietary machine learning models, focusing on generative AI and predictive analytics.
  • Define technical roadmaps and strategy, ensuring alignment with business goals and future technological trends.
  • Mentor and guide a high-performing team of data scientists and ML engineers.
  • Ensure ethical AI practices, data privacy compliance, and robust security protocols.
  • Collaborate cross-functionally with product managers and engineering teams to translate complex requirements into technical solutions.
  • Conduct deep-dive technical reviews and code audits to maintain system integrity.

Qualifications

  • Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • Minimum of 5 years of professional experience in AI, Machine Learning, or Deep Learning engineering.
  • Strong proficiency in programming languages such as Python, Java, or C++.
  • Deep experience with ML frameworks like TensorFlow, PyTorch, or Keras.
  • Proven track record of deploying production-grade machine learning models at scale.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, high-growth startup environment.

Required Skills

Python Machine Learning Deep Learning Artificial Intelligence TensorFlow PyTorch Cloud Computing AWS Docker Kubernetes System Design Data Science

Ready to Take This Challenge?

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