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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect (2026 Vision)

Nexus Horizon
San Francisco
Estimated Salary
USD 220.000 – USD 320.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are seeking a visionary Lead AI Architect to define the technical roadmap for Nexus Horizon in the year 2026 and beyond. In this pivotal role, you will lead the charge in integrating next-generation artificial intelligence and quantum-ready infrastructure into our core products. You will not just build software; you will architect the future of human-machine interaction.

Join a team of world-class engineers and researchers dedicated to solving the most complex problems of tomorrow. You will have the autonomy to experiment with cutting-edge technologies and the responsibility to ensure our platform remains at the forefront of the industry.

Responsibilities

  • Define and execute the long-term technical vision for AI integration, specifically preparing our systems for the 2026 landscape.
  • Design scalable, high-performance machine learning pipelines and neural network architectures.
  • Lead a high-performing team of AI engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with product managers and stakeholders to translate business requirements into robust technical solutions.
  • Oversee the research and implementation of emerging technologies such as generative AI, federated learning, and edge computing.
  • Establish best practices for data governance, model deployment, and MLOps to ensure reliability and scalability.
  • Stay ahead of industry trends and competitor innovations to maintain Nexus Horizon's competitive edge.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (10+ years of industry experience may substitute for a degree).
  • Proven track record of designing and deploying large-scale machine learning systems in production environments.
  • Deep expertise in Python, TensorFlow, PyTorch, and major cloud providers (AWS, GCP, or Azure).
  • Strong background in system architecture, distributed computing, and high-availability design.
  • Exceptional leadership skills with experience managing cross-functional teams and mentoring junior engineers.
  • Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders.
  • Familiarity with quantum computing concepts and future-proofing software architectures is a plus.

Required Skills

AI Machine Learning Python TensorFlow PyTorch AWS System Architecture Leadership MLOps Quantum Computing

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