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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect (Class of 2026)

Nexus 2026
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are building the future. Nexus 2026 is seeking a visionary Lead AI Architect to spearhead our revolutionary generative intelligence platform. If you are a technologist who refuses to settle for 'good enough' and is driven by the challenge of solving complex problems at the edge of tomorrow, this is your call to action. Join a elite team dedicated to defining the standard for artificial intelligence in the coming decade.

In this pivotal role, you will bridge the gap between theoretical research and production-ready engineering. You will architect scalable systems that power our next-generation predictive models and drive the core product roadmap.

Responsibilities

  • Architect Future-Proof Systems: Design and implement robust, scalable machine learning pipelines and neural network architectures capable of handling petabyte-scale data.
  • Lead Technical Vision: Define the technical roadmap for our AI initiatives, ensuring alignment with business objectives and industry trends leading up to 2026.
  • Team Mentorship: Cultivate a high-performance engineering culture by mentoring junior developers, conducting code reviews, and fostering continuous learning.
  • Research & Innovation: Stay at the forefront of AI advancements, exploring new methodologies in Large Language Models (LLMs) and computer vision to integrate into our ecosystem.
  • Cross-Functional Collaboration: Partner with product managers, designers, and stakeholders to translate complex requirements into elegant technical solutions.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related STEM field (PhD preferred).
  • Experience: 8+ years of experience in software engineering, with at least 3 years in a senior technical leadership or architect role.
  • Technical Expertise: Deep proficiency in Python, TensorFlow, PyTorch, and modern cloud infrastructure (AWS, GCP, or Azure).
  • System Design: Proven ability to design distributed systems and microservices architectures that prioritize security, latency, and scalability.
  • Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders and executive leadership.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Cloud Architecture System Design Leadership San Francisco

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