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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect (2026 Horizon)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are at the precipice of a technological revolution, and we need a visionary leader to define the AI landscape of 2026. Nexus Future Systems is seeking a Lead AI Architect to design and implement the core infrastructure for our next-generation predictive intelligence platforms. You will work directly with C-level executives to translate futuristic concepts into scalable, robust production systems. This is not just a coding role; it is a strategic position shaping the future of enterprise automation. If you are passionate about pushing the boundaries of what is possible with neural networks and generative AI, we want to hear from you.

Responsibilities

  • Architect and oversee the deployment of scalable machine learning pipelines capable of processing exabyte-scale data streams.
  • Lead a cross-functional team of data scientists, engineers, and researchers to deliver cutting-edge AI solutions ahead of the 2026 roadmap.
  • Define the technical vision for our proprietary AI framework, ensuring high performance, security, and ethical compliance.
  • Optimize existing algorithms for real-time inference and reduced latency in distributed environments.
  • Mentor junior developers and senior engineers alike, fostering a culture of innovation and continuous learning.
  • Collaborate with product managers to translate complex business requirements into technical specifications.
  • Conduct rigorous code reviews and architecture assessments to maintain system integrity.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Strong proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Spark).
  • Deep understanding of deep learning architectures, NLP, and computer vision.
  • Experience designing fault-tolerant systems in high-availability environments.
  • Proven track record of leading large-scale technical projects from conception to production.
  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Kubernetes Spark Distributed Systems NLP Computer Vision Cloud Architecture AWS GCP

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