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Senior AI Architect - 2026 Roadmap

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

Job Description

We are building the future of intelligence. OmniFuture Corp is seeking a visionary Senior AI Architect to lead our 2026 technology roadmap.


In this pivotal role, you will design scalable, next-generation machine learning systems that redefine industry standards. You won't just be maintaining legacy code; you will be architecting the core infrastructure for our upcoming generative AI suite and autonomous agent platforms.


Join a team of elite engineers and researchers pushing the boundaries of what's possible in 2026.

Responsibilities

  • Architect & Design: Lead the end-to-end technical design of large-scale AI systems, focusing on scalability, latency, and throughput for the 2026 release cycle.
  • Research & Strategy: Identify emerging AI trends (LLMs, Neural Networks) and integrate them into our core product strategy.
  • Team Leadership: Mentor a high-performance engineering team, conducting code reviews and fostering a culture of innovation.
  • Performance Optimization: Optimize model inference and training pipelines to reduce computational costs by 30%.
  • Collaboration: Partner with product managers and data scientists to translate business requirements into technical blueprints.
  • Implementation: Deploy robust, fault-tolerant AI solutions to production environments using cloud-native architectures.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of experience in software engineering, with at least 4 years specifically focused on AI/ML architecture.
  • Technical Skills: Deep proficiency in Python, C++, and distributed systems (Kubernetes, Docker). Strong knowledge of PyTorch or TensorFlow.
  • Strategic Vision: Proven track record of defining long-term technical roadmaps and leading teams through complex transitions.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Problem Solving: Experience in optimizing deep learning models for edge devices and cloud environments.

Required Skills

Python Machine Learning Deep Learning System Design Kubernetes PyTorch TensorFlow Cloud Architecture Leadership

Ready to Take This Challenge?

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