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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect for 2026 Horizon Initiative

Nexus Future Systems
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are on the cusp of a technological revolution. Nexus Future Systems is seeking a visionary Lead AI Architect to spearhead the 2026 Horizon Initiative. In this high-impact role, you will design the neural architectures that will define the next decade of intelligent computing.

As a leader in our AI division, you will bridge the gap between theoretical breakthroughs and scalable production environments. You will not just write code; you will architect the future. If you are passionate about pushing the boundaries of what is possible with Artificial General Intelligence (AGI), we want you on our team.

Responsibilities

  • Architect and oversee the development of scalable AI infrastructure designed for 2026 performance standards.
  • Lead a cross-functional team of data scientists, ML engineers, and researchers to deliver cutting-edge solutions.
  • Define the long-term technical roadmap for our core AI products, ensuring alignment with business goals.
  • Implement best practices for model deployment, MLOps, and ethical AI governance.
  • Collaborate with executive stakeholders to translate complex technical concepts into strategic business insights.
  • Optimize algorithmic efficiency to handle petabyte-scale datasets with zero latency.
  • Mentor junior engineers and foster a culture of innovation and continuous learning.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • Minimum of 7 years of experience in software engineering, with at least 3 years in a senior technical leadership role.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Proven track record of designing and deploying large-scale Machine Learning systems in production environments.
  • Strong understanding of cloud architecture (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Experience with Natural Language Processing (NLP) and Computer Vision technologies is highly preferred.
  • Excellent communication skills with the ability to articulate complex technical strategies to non-technical audiences.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow AWS System Architecture MLOps Leadership Data Science

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