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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Evolution Architect

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are on the cutting edge of technological evolution, and we are looking for a visionary Lead AI Evolution Architect to spearhead our roadmap for the 2026 technological horizon.

In this pivotal role, you will design scalable neural architectures and integrate cutting-edge machine learning models into our core infrastructure. You won't just maintain systems; you will architect the future of how data flows through our ecosystem, ensuring stability, scalability, and innovation for years to come.

If you are passionate about pushing the boundaries of what is possible in AI and are ready to build the infrastructure of tomorrow, we want to meet you.

Responsibilities

  • Architect and deploy next-generation AI models focused on the 2026 roadmap, ensuring high availability and low latency.
  • Lead a high-performing team of data scientists and backend engineers, fostering a culture of innovation and technical excellence.
  • Optimize real-time data processing pipelines to handle petabyte-scale datasets with zero-latency performance.
  • Establish ethical AI guidelines and governance frameworks to ensure responsible deployment of autonomous systems.
  • Collaborate with cross-functional product teams to translate futuristic concepts into deployable, production-ready code.
  • Conduct rigorous code reviews and architectural assessments to ensure system integrity and security.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a leadership role within AI/ML infrastructure.
  • Deep expertise in Python, PyTorch, or TensorFlow, with a strong understanding of deep learning architectures.
  • Proven track record of scaling systems to handle high-concurrency environments and large-scale data processing.
  • Strong proficiency in cloud-native technologies (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).
  • Excellent communication skills, with the ability to bridge the gap between complex technical concepts and business stakeholders.
  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related field is a strong plus.

Required Skills

Python Machine Learning System Design Cloud Architecture TensorFlow PyTorch Kubernetes AWS Leadership

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