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Senior AI Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our 2026 strategic roadmap and define the next generation of intelligent systems. At Nexus Future Labs, we don't just predict the future; we engineer it. You will be at the forefront of integrating cutting-edge Artificial Intelligence into scalable infrastructure.

Why Join Us?

Work in a high-growth environment focused on ethical AI and AGI readiness. We offer competitive compensation, remote-first flexibility, and the opportunity to shape the trajectory of technology for the next decade.

Responsibilities

  • Architect Next-Gen Systems: Design and implement robust, scalable AI architectures ready for the 2026 technological landscape.
  • Lead Strategic Roadmap: Translate high-level business goals into technical milestones for the AI development pipeline.
  • Mentorship: Guide a team of top-tier data scientists and ML engineers, fostering a culture of innovation and continuous learning.
  • Optimization: Oversee the performance tuning and optimization of Large Language Models (LLMs) and neural networks.
  • Compliance: Ensure all AI implementations adhere to ethical guidelines, data privacy laws, and industry standards.

Qualifications

  • Experience: 8+ years of experience in software engineering with a focus on Machine Learning and Artificial Intelligence.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing systems (Kubernetes, AWS/Azure).
  • Leadership: Proven track record of leading cross-functional engineering teams and managing complex technical projects.
  • Education: Master’s degree or PhD in Computer Science, AI, or a related field is highly preferred.
  • Innovation: Deep understanding of current AI trends, including Generative AI, NLP, and Computer Vision.

Required Skills

Python Machine Learning AI Deep Learning Neural Networks PyTorch TensorFlow Kubernetes AWS Leadership

Ready to Take This Challenge?

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