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Senior AI Architect (2026 Horizon) | San Francisco, CA

OmniFuture Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Welcome to OmniFuture Technologies, the pioneers defining the technological landscape for the year 2026. We are seeking a visionary Senior AI Architect to lead our next-generation artificial intelligence initiatives. If you are passionate about building scalable, ethical, and transformative AI systems, this is your opportunity to shape the future.

In this role, you will bridge the gap between theoretical research and practical application, ensuring our platforms are ready for the demands of the 2026 digital era. Join us in redefining what is possible with artificial intelligence.

Responsibilities

  • Lead the architectural design and development of scalable AI and Machine Learning systems for the 2026 product roadmap.
  • Define and enforce best practices for data governance, model deployment, and ethical AI usage.
  • Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to translate business requirements into technical solutions.
  • Conduct code reviews and mentor junior developers to foster a culture of technical excellence.
  • Stay ahead of industry trends in Generative AI, Large Language Models (LLMs), and predictive analytics.
  • Optimize existing AI infrastructure to improve latency, throughput, and cost-efficiency.
  • Drive innovation in our core products, ensuring they remain competitive in the rapidly evolving tech market.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related field; PhD preferred.
  • Minimum of 7 years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience designing and deploying production-grade machine learning models at scale.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Experience leading high-performance teams and driving technical roadmaps.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning System Architecture Cloud Computing AWS Docker Kubernetes Leadership

Ready to Take This Challenge?

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