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Information Technology 🏢 Full Time ⭐️ Verified

2026 Strategic AI Architect

OmniFuture Labs
San Francisco
Estimated Salary
USD 200.000 – USD 350.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

We are looking for a visionary Strategic AI Architect to lead the development of next-generation artificial intelligence systems designed for the 2026 technological horizon. In this pivotal role, you will bridge the gap between theoretical future-tech and practical engineering, ensuring our platforms are scalable, secure, and revolutionary.

Why join OmniFuture Labs?
We are not just building software; we are architecting the infrastructure for a future where AI seamlessly integrates into daily life. You will work with a world-class team of futurists and engineers to solve problems that don't exist yet.

Responsibilities

  • Architect Future-Proof Systems: Design scalable, resilient AI architectures capable of evolving with the rapid advancements in Machine Learning and Quantum Computing leading up to 2026.
  • Lead Strategic Vision: Define the long-term technical roadmap, identifying emerging technologies (e.g., AGI, Neuromorphic Computing) and integrating them into our core product suite.
  • Ethical AI Governance: Establish and enforce rigorous frameworks for AI safety, bias mitigation, and transparency to ensure responsible deployment.
  • High-Performance Computing: Optimize large-scale distributed systems for speed and efficiency, handling petabyte-scale data processing with zero downtime.
  • Cross-Functional Leadership: Mentor junior engineers and collaborate with product managers to translate complex technical concepts into actionable business strategies.
  • R&D Innovation: Spearhead research initiatives in Natural Language Processing and Computer Vision to stay ahead of industry benchmarks.

Qualifications

  • Education: Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent extensive industry experience.
  • Experience: 10+ years of experience in software engineering, with at least 5 years in a senior architecture or lead engineering role.
  • Technical Mastery: Deep proficiency in Python, C++, and distributed systems. Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
  • Future-Tech Acumen: Demonstrated experience or strong interest in Long Short-Term Memory (LSTM), Transformers, and Reinforcement Learning.
  • Problem Solving: Exceptional ability to solve ambiguous problems and navigate the complexities of unproven technologies.
  • Communication: Excellent verbal and written communication skills, capable of presenting complex architectural decisions to stakeholders.

Required Skills

Python Machine Learning System Architecture Cloud Computing AI Strategy Distributed Systems Kubernetes AWS C++ Neural Networks

Ready to Take This Challenge?

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