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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Future-Ready AI Architect (2026 Vision)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to define the future? Nexus Horizon is seeking a visionary Future-Ready AI Architect to spearhead our technology stack leading up to the transformative year of 2026. In this role, you won't just maintain systems; you will architect the next generation of intelligent automation and data infrastructure.

We are looking for a strategic thinker who understands the long-term implications of emerging AI technologies. You will be responsible for building scalable, secure, and ethical AI models that drive our roadmap well beyond the current industry standards.

Why join us?

  • Shape the strategic roadmap for 2026 and beyond.
  • Work with cutting-edge Generative AI and Large Language Models.
  • Competitive compensation and equity package.

Responsibilities

  • Design and implement scalable AI architectures aligned with the 2026 strategic vision.
  • Lead the integration of Generative AI and Machine Learning into core business products.
  • Oversee the full lifecycle of data pipelines, from ingestion to model deployment.
  • Ensure AI systems are ethically designed, bias-free, and compliant with regulations.
  • Collaborate with cross-functional teams to translate complex business needs into technical AI solutions.
  • Stay ahead of emerging tech trends to propose innovative solutions for future challenges.
  • Mentor junior engineers and foster a culture of technical excellence.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 5+ years of experience in AI engineering, Machine Learning, or Data Science.
  • Expert proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
  • Strong understanding of Cloud architecture (AWS, GCP, or Azure).
  • Proven experience in designing Large Language Model (LLM) applications.
  • Excellent problem-solving skills and ability to work in a fast-paced, high-growth environment.
  • Experience with MLOps and model versioning tools (MLflow, Kubeflow).

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Architecture (AWS/GCP) MLOps Generative AI LLM Data Engineering

Ready to Take This Challenge?

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