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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Architect | San Francisco, CA

OmniFuture Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

About the Role:
We are at the forefront of the technological revolution, building the infrastructure for the year 2026 and beyond. OmniFuture Solutions is seeking a visionary Future Tech Architect to lead our R&D division. You will be responsible for designing scalable, autonomous systems and pioneering the next generation of AI integration. This is a unique opportunity to shape the future of enterprise technology.

Why Join Us?

  • Work with cutting-edge AI and quantum computing technologies.
  • Competitive compensation package and equity options.
  • Flexible remote-first policy with a hub in San Francisco.
  • Access to top-tier talent and mentorship programs.

Responsibilities

  • Architect and design robust, scalable AI-driven solutions for enterprise clients.
  • Lead research and development initiatives in Generative AI, Large Language Models (LLMs), and autonomous agents.
  • Collaborate with cross-functional product teams to define technical roadmaps and ensure architectural alignment.
  • Optimize system performance, security, and latency in high-volume cloud environments.
  • Mentor senior engineers and foster a culture of continuous innovation and technical excellence.
  • Define best practices for coding, testing, and deployment in a distributed system.
  • Stay ahead of industry trends to ensure our technology stack remains future-proof.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
  • Minimum of 7 years of experience in software engineering, with 3+ years in AI/ML architecture.
  • Deep proficiency in Python, C++, and modern frameworks such as PyTorch and TensorFlow.
  • Extensive experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).
  • Strong background in NLP, Computer Vision, or Reinforcement Learning.
  • Proven ability to lead technical teams and communicate complex concepts to stakeholders.
  • Experience with quantum computing libraries or edge computing is a plus.

Required Skills

Python Machine Learning Deep Learning System Design Cloud Computing Kubernetes AWS AI Architecture NLP PyTorch TensorFlow

Ready to Take This Challenge?

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