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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

OmniFuture Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

We are pioneering the next era of intelligent systems. Project 2026 is our ambitious initiative to redefine the boundaries of artificial general intelligence and scalable neural architecture.


As a Senior AI Architect, you will be the technical visionary behind our flagship platform. You will not just write code; you will design the cognitive infrastructure of the future. We are looking for a thought leader who thrives in ambiguity and has a proven track record of deploying cutting-edge machine learning models at scale.


Why Join Us?

  • Work on breakthrough technology that will shape the industry for the next decade.
  • Competitive equity package and performance bonuses.
  • Top-tier benefits and a culture of continuous innovation.

The Role:

We need a master of algorithms and systems design. You will be responsible for the end-to-end technical lifecycle of our AI models, from theoretical research to production deployment.

Responsibilities

  • Architectural Leadership: Design and implement scalable, high-performance neural network architectures for Project 2026.
  • Model Development: Spearhead the development and fine-tuning of proprietary Large Language Models (LLMs) and generative AI systems.
  • Technical Strategy: Define the long-term technical roadmap for our AI research and engineering teams.
  • Performance Optimization: Optimize inference speeds and reduce computational costs for large-scale deployments.
  • Mentorship: Lead, mentor, and coach a team of junior engineers and data scientists.
  • Research: Stay at the forefront of industry trends, including Transformer architectures, reinforcement learning, and edge AI.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 7+ years of experience in software engineering, with at least 4 years specifically focused on AI/ML architecture.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Ray).
  • Problem Solving: Proven ability to solve complex, non-trivial engineering problems with elegant solutions.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.
  • Agile: Experience working in fast-paced, agile environments with a focus on shipping high-quality products.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow Neural Networks NLP System Design Kubernetes Cloud Computing

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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