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Senior AI Architect (2026 Strategy)

Synthetix Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Defining the 2026 Tech Landscape

At Synthetix Future Labs, we are not just building software; we are architecting the future. We are seeking a visionary Senior AI Architect to spearhead our strategic initiatives leading up to 2026. You will be at the forefront of integrating Generative AI, Large Language Models (LLMs), and autonomous systems into scalable enterprise solutions.

Why Join Us?

  • Work on cutting-edge projects that set the standard for the next decade.
  • Competitive compensation package including equity options.
  • Flexible remote-first policy with quarterly innovation hubs in major tech cities.
  • Access to the latest hardware for AI training and inference.

If you are a thought leader ready to push the boundaries of what is possible in Artificial Intelligence, we want to hear from you.

Responsibilities

  • Lead the architectural design and implementation of proprietary AI models focused on 2026 scalability requirements.
  • Collaborate with cross-functional teams to translate complex business requirements into robust technical AI solutions.
  • Optimize machine learning pipelines for high-performance inference and reduced latency.
  • Conduct research into emerging AI paradigms (e.g., Neuro-symbolic AI, Quantum AI interfaces) to inform our 2026 roadmap.
  • Ensure ethical AI practices and compliance with evolving regulatory standards.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 7+ years of experience in software engineering with a focus on Machine Learning and Deep Learning.
  • Extensive experience with Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Proven track record of deploying large-scale AI models into production environments.
  • Strong understanding of Generative AI, NLP, and Computer Vision technologies.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Generative AI System Design Cloud Computing (AWS/Azure/GCP)

Ready to Take This Challenge?

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