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Lead AI Architect: 2026 Roadmap

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Architecting the Future of Intelligence

Nexus Future Labs is at the forefront of defining the technological landscape for the year 2026. We are looking for a visionary Lead AI Architect to lead our engineering team in designing scalable, next-generation artificial intelligence systems. If you are passionate about pushing the boundaries of what is possible and defining the roadmap for the future, we want to hear from you.

Why Join Us?

As a pioneer in the 2026 niche, we offer competitive equity, a remote-first culture, and the opportunity to work on projects that will shape the industry for the next decade.

Responsibilities

  • Define and execute the technical roadmap for AI systems targeting the 2026 market release.
  • Architect scalable machine learning pipelines and data infrastructure using cloud-native technologies.
  • Mentor a team of senior engineers and data scientists to foster a culture of innovation.
  • Collaborate with cross-functional product teams to translate business requirements into technical solutions.
  • Ensure the security, compliance, and ethical use of AI models at scale.
  • Conduct deep-dive technical reviews and code audits to maintain high engineering standards.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and large language model (LLM) deployment.
  • Proven experience designing distributed systems and cloud architecture (AWS, GCP, or Azure).
  • Strong background in MLOps, data pipelines, and real-time inference systems.
  • Excellent leadership skills with a track record of managing high-performing engineering teams.
  • Experience with quantum computing integration or edge AI architectures is a plus.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch AWS GCP Kubernetes MLOps Leadership System Design

Ready to Take This Challenge?

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