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Principal AI Architect (2026 Vision)

Horizon 2026 Solutions
San Francisco
Estimated Salary
USD 200.000 – USD 280.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Horizon 2026 Solutions is at the forefront of next-generation artificial intelligence and human-computer interaction. We are seeking a visionary Principal AI Architect to lead our R&D division in San Francisco. In this pivotal role, you will architect the systems that will power the future of our industry, ensuring scalability, ethical AI implementation, and groundbreaking innovation.


We are looking for a thought leader who doesn't just adapt to the future—they build it. If you are passionate about pushing the boundaries of what is possible with neural networks and predictive modeling, we want to hear from you.

Responsibilities

  • Define and execute the long-term technical roadmap for our 2026 AI initiatives, ensuring alignment with business goals.
  • Lead a team of elite engineers and data scientists in the development of next-gen deep learning models and generative AI systems.
  • Architect robust, scalable, and secure infrastructure capable of handling petabyte-scale data processing.
  • Establish best practices for MLOps, ensuring models are deployed, monitored, and optimized in real-time environments.
  • Collaborate with cross-functional stakeholders to translate complex technical concepts into strategic business solutions.
  • Drive innovation in ethical AI, ensuring fairness, transparency, and accountability in all automated systems.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field from a top-tier institution.
  • 10+ years of experience in software engineering and machine learning, with at least 5 years in a senior leadership or architectural role.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, AWS, GCP).
  • Proven track record of designing and deploying production-grade AI systems that have measurable business impact.
  • Strong understanding of natural language processing (NLP) and computer vision technologies.
  • Exceptional communication skills, with the ability to articulate complex technical strategies to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow Kubernetes AWS MLOps System Architecture Deep Learning NLP

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