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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect (2026 Vision)

Nexus Future Tech
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to build the technology of tomorrow?

Nexus Future Tech is on a mission to define the standard for artificial intelligence by the year 2026. We are seeking a visionary Lead AI Architect to spearhead our next-generation research and development initiatives. If you are passionate about the intersection of machine learning, quantum computing, and ethical AI, this is your opportunity to leave a lasting impact on the industry.

In this role, you won't just be maintaining existing systems; you will be architecting the foundation for the future. You will work closely with cross-functional teams to deliver cutting-edge solutions that solve complex problems in real-time environments.

Why join us?

  • Competitive compensation package with equity.
  • Flexible remote-first culture with a focus on work-life balance.
  • Access to the latest hardware and research tools.
  • Be part of a team that is shaping the roadmap for 2026 and beyond.

Responsibilities

  • Architectural Leadership: Design and implement scalable, robust AI systems that align with our 2026 strategic vision.
  • R&D Leadership: Guide a team of brilliant engineers in researching and deploying state-of-the-art machine learning models.
  • Strategic Planning: Define the technical roadmap for AI integration, anticipating industry trends and technological shifts.
  • Model Optimization: Improve model accuracy, latency, and efficiency to ensure high-performance deployment in production environments.
  • Collaboration: Partner with product managers and stakeholders to translate complex technical requirements into actionable development plans.

Qualifications

  • Experience: 7+ years of experience in software engineering, with at least 4 years in leading AI/ML architecture.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Spark).
  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field is preferred.
  • Visionary Thinking: Demonstrated ability to think long-term and adapt to emerging technologies.
  • Communication: Exceptional verbal and written communication skills, with the ability to explain complex concepts to non-technical audiences.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch System Architecture Kubernetes Python Distributed Systems

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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