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Senior AI Architect (2026 Vision)

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Horizon Solutions is at the forefront of innovation, building the intelligent systems of tomorrow. We are seeking a visionary Senior AI Architect to lead our core research and development initiatives.

In this role, you won't just write code; you will architect the future. You will bridge the gap between theoretical AI breakthroughs and scalable, real-world applications. If you are passionate about pushing the boundaries of what's possible and thrive in a fast-paced, high-performance environment, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects that define the next generation of technology.
  • Competitive compensation and equity packages.
  • Flexible remote-first work culture.
  • Continuous learning and development opportunities.

Responsibilities

  • Architect Design: Design and implement scalable machine learning systems and deep learning models that power our flagship products.
  • Technical Leadership: Mentor junior engineers and guide the technical strategy for AI integration across various product lines.
  • R&D Leadership: Stay ahead of the curve with the latest advancements in AI, including Large Language Models (LLMs) and generative adversarial networks.
  • System Optimization: Optimize algorithms for low latency and high throughput, ensuring seamless user experiences.
  • Collaboration: Work closely with data scientists, product managers, and engineers to translate business needs into technical solutions.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: Minimum of 5+ years of professional experience in machine learning engineering or AI research.
  • Tools: Proficiency in Python, PyTorch, TensorFlow, and SQL.
  • Cloud: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Cloud Architecture NLP Docker Kubernetes AI Research System Design

Ready to Take This Challenge?

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