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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Tech Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are on the cutting edge of innovation, building the infrastructure for the year 2026 and beyond. Nexus Future Systems is seeking a visionary Senior AI & Future Tech Architect to lead our advanced research and development division.


In this role, you will not just be maintaining existing systems; you will architect the next generation of intelligent infrastructure. You will work with state-of-the-art Large Language Models (LLMs), neural networks, and predictive analytics to solve complex, unstructured problems. If you are passionate about shaping the digital landscape of tomorrow and thrive in a high-performance environment, we want to meet you.


Why Join Us?

  • Work with a world-class team of engineers and data scientists.
  • Shape the strategic roadmap for emerging technologies.
  • Competitive compensation and equity packages.

Responsibilities

  • Design, prototype, and implement scalable AI architectures for enterprise-level solutions.
  • Lead the integration of emerging technologies, including generative AI and autonomous agents.
  • Oversee the end-to-end data pipeline, ensuring high availability and low latency.
  • Collaborate with cross-functional teams to define technical requirements and product features.
  • Mentor junior architects and engineers, fostering a culture of continuous learning.
  • Conduct research to stay ahead of industry trends and technological advancements.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar machine learning frameworks.
  • Strong background in system design, cloud infrastructure (AWS/Azure/GCP), and microservices.
  • Experience with Large Language Models (LLMs) and prompt engineering is highly desirable.
  • Excellent problem-solving skills and the ability to thrive in ambiguous environments.
  • Master’s degree in Computer Science, Data Science, or a related technical field.

Required Skills

Artificial Intelligence Machine Learning Neural Networks Python System Design Cloud Architecture LLM Predictive Analytics Leadership TensorFlow PyTorch

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