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Information Technology 🏒 Full Time ⭐️ Verified

Project 2026 Lead Architect

OmniFuture Corp
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to define the next era of technology? OmniFuture Corp is seeking a visionary Project 2026 Lead Architect to spearhead our most ambitious R&D initiative. In this pivotal role, you will bridge the gap between theoretical artificial intelligence and scalable, real-world infrastructure, ensuring our systems are ready for the demands of the future.

We are looking for a forward-thinking leader who thrives in ambiguity and possesses the technical prowess to architect systems that are not just functional, but revolutionary. If you are passionate about the convergence of Generative AI, Quantum Computing, and Sustainable Tech, we want to meet you.

Responsibilities

  • Lead Strategic Vision: Define and execute the architectural roadmap for the Project 2026 initiative, aligning technical strategies with business goals.
  • System Design: Design high-performance, fault-tolerant distributed systems capable of handling exabyte-scale data processing.
  • AI Integration: Oversee the integration of advanced LLMs and machine learning models into core enterprise platforms.
  • Talent Development: Mentor a team of elite engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Technical Governance: Establish best practices for coding, security, and scalability across all engineering departments.
  • Stakeholder Communication: Translate complex technical concepts into compelling narratives for C-suite executives and investors.

Qualifications

  • Education: Master’s or PhD in Computer Science, Engineering, or a related field.
  • Experience: 10+ years of experience in software architecture, with at least 5 years in a leadership capacity.
  • Technical Skills: Deep expertise in Python, Go, or Rust; extensive knowledge of cloud-native architectures (AWS, GCP, Azure).
  • AI/ML: Proven track record of deploying large-scale machine learning models in production environments.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems with innovative technical solutions.
  • Certifications: AWS Solutions Architect Professional or Google Cloud Professional Architect preferred.

Required Skills

Python Machine Learning Cloud Architecture System Design Leadership AI Go Rust AWS GCP Kubernetes

Ready to Take This Challenge?

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