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Future Tech Architect | San Francisco, CA

OmniFuture Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

OmniFuture Systems is pioneering the technological frontiers leading into the year 2026. We are seeking a visionary Future Tech Architect to design the infrastructure that will define the next generation of intelligent systems. In this role, you will bridge the gap between theoretical AI research and scalable production engineering, ensuring our platforms are robust, ethical, and ready for the future.

Join a team of world-class engineers and data scientists committed to pushing the boundaries of what is possible. You will work directly with executive leadership to define the roadmap for our core technologies.

Responsibilities

  • Architect and deploy next-generation AI infrastructure capable of processing exabyte-scale data streams.
  • Lead the research and integration of emerging technologies, including Generative AI and Autonomous Agents, targeting readiness for 2026.
  • Design scalable microservices architecture using modern cloud-native technologies (Kubernetes, Serverless).
  • Establish best practices for AI ethics, data governance, and algorithmic transparency.
  • Mentor senior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Collaborate with cross-functional product teams to translate complex technical requirements into elegant solutions.
  • Conduct rigorous performance tuning and optimization of large-scale machine learning models.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • Minimum of 7 years of experience in software architecture and large-scale system design.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern LLM architectures.
  • Proven track record of delivering complex engineering projects in high-growth environments.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies.
  • Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders.
  • Experience with blockchain or decentralized systems is a strong plus.

Required Skills

Python Machine Learning System Design Kubernetes AWS GCP PyTorch TensorFlow AI Ethics Microservices

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