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Senior AI Architect (2026 Roadmap)

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are pioneering the next generation of intelligent systems. Nexus Future Labs is seeking a visionary Senior AI Architect to spearhead our 2026 roadmap. In this pivotal role, you will design scalable, ethical, and high-performance AI infrastructures that define the future of human-machine interaction. You will bridge the gap between theoretical research and practical deployment, ensuring our solutions are ready for the challenges of tomorrow.

Why Join Us?
We offer a competitive package, equity options, and the opportunity to work on groundbreaking projects that impact billions.

Responsibilities

  • Lead the architectural design and implementation of our 2026 AI product roadmap, focusing on generative models and predictive analytics.
  • Oversee the full software development lifecycle (SDLC) for machine learning systems, from prototyping to production deployment.
  • Collaborate with data scientists and engineering teams to optimize algorithm efficiency and reduce latency.
  • Establish best practices for AI governance, data privacy, and ethical AI usage.
  • Mentor senior engineers and foster a culture of technical excellence and innovation.
  • Conduct technical due diligence for emerging technologies and potential acquisition targets.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Advanced degree (Master’s or PhD) in Computer Science, Mathematics, or a related quantitative field.
  • Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Deep understanding of cloud architecture (AWS, GCP, Azure) and containerization technologies (Kubernetes, Docker).
  • Proven track record of leading cross-functional teams in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Cloud Computing Kubernetes Machine Learning System Architecture AI Governance

Ready to Take This Challenge?

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