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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect - Generative AI (2026 Vision)

Synthetix Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

Are you ready to architect the artificial intelligence of tomorrow? Synthetix Future Labs is seeking a visionary Senior AI Architect to lead the development of next-generation Generative AI systems. We are pushing the boundaries of what is possible in 2026, focusing on autonomous agents, advanced LLMs, and ethical AI infrastructure.

As a key member of our R&D division, you will define the technical roadmap for our upcoming AI products, ensuring scalability, security, and innovation. If you thrive in a fast-paced, high-impact environment and want to shape the future of human-machine interaction, we want to hear from you.

Responsibilities

  • Design and implement scalable Generative AI architectures for enterprise-level applications.
  • Lead research initiatives in Large Language Models (LLMs) and multimodal AI systems.
  • Optimize model inference pipelines to reduce latency and computational costs.
  • Collaborate with cross-functional teams including product managers, engineers, and data scientists.
  • Define and enforce best practices for AI ethics, bias mitigation, and data governance.
  • Conduct code reviews and mentor junior engineers to foster a culture of technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in AI/ML engineering, with a focus on Generative AI or Deep Learning.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of Transformer architectures, reinforcement learning, and fine-tuning methodologies.
  • Experience deploying large-scale models on cloud platforms (AWS, GCP, or Azure).
  • Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Generative AI LLM Deep Learning Cloud Computing AWS GCP MLOps

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