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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are looking for a visionary Senior AI Architect to lead the charge in shaping the technological landscape of 2026. At Nexus Future Systems, we are not just preparing for the future; we are defining it. Our mission is to build the next generation of artificial intelligence systems that redefine human-machine interaction.

In this pivotal role, you will architect scalable, robust, and ethical AI infrastructures that power our flagship products. You will work at the intersection of deep learning, neural architecture search, and quantum computing integration. If you are a thought leader passionate about pushing the boundaries of what is possible in AI, we want to hear from you.

Why Join Us?
- Work on cutting-edge Generative AI and LLM technologies.
- Competitive compensation package and equity options.
- Flexible remote-first work culture.

Responsibilities

  • Design and implement end-to-end AI architectures that drive business growth and innovation.
  • Lead the research and development of proprietary machine learning models and algorithms.
  • Collaborate with cross-functional teams of engineers, product managers, and designers to translate complex requirements into technical solutions.
  • Ensure the scalability, reliability, and security of deployed AI systems.
  • Mentor and guide junior architects and data scientists, fostering a culture of continuous learning.
  • Stay abreast of the latest advancements in AI, NLP, and computer vision to integrate relevant technologies into our stack.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 8 years of professional experience in software engineering and machine learning architecture.
  • Proven track record of designing and deploying production-grade ML systems at scale.
  • Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Spark).
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and MLOps practices.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Cloud Computing Kubernetes MLOps System Design SQL Agile

Ready to Take This Challenge?

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