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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the technology landscape of 2026? Nexus Future Tech is seeking a visionary Senior AI Architect to lead our next-generation predictive models and generative AI initiatives. We are not just building for today; we are architecting for the future.

As a key player in our team, you will bridge the gap between theoretical AI research and scalable production systems, ensuring our platform remains at the forefront of the industry by the time we hit the 2026 milestone. You will have the autonomy to experiment with emerging technologies and the responsibility to deploy them into robust, enterprise-grade solutions.

Why Join Us?

  • Work on cutting-edge AI projects that define the next era of technology.
  • Competitive salary and equity package.
  • Flexible remote-first culture with headquarters in San Francisco.
  • Access to state-of-the-art hardware and cloud resources.

Responsibilities

  • Lead the architectural design of scalable AI/ML systems focused on the 2026 product roadmap.
  • Research and implement cutting-edge Generative AI models (LLMs, Transformers) to enhance user experience.
  • Collaborate with cross-functional teams (Product, Engineering, Design) to integrate AI capabilities into core products.
  • Mentor junior engineers and data scientists in best practices for MLOps, model training, and deployment.
  • Optimize existing models for latency, throughput, and accuracy in high-traffic environments.
  • Establish best practices for data governance, model monitoring, and security.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of experience in AI/ML engineering, with a strong focus on Python and deep learning frameworks.
  • Proven experience deploying large-scale machine learning models in production environments.
  • Strong understanding of cloud architecture (AWS/GCP/Azure) and containerization (Docker/Kubernetes).
  • Experience with LLMs, RAG architectures, and vector databases is highly desirable.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes MLOps GenAI NLP Machine Learning Deep Learning

Ready to Take This Challenge?

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