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Senior AI/AGI Architect (2026 Roadmap)

Zenith Future Labs
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to define the future of intelligence? Zenith Future Labs is seeking a visionary Senior AI/AGI Architect to lead our breakthrough initiatives for the 2026 roadmap. You will work at the forefront of Generative AI and autonomous systems, pushing the boundaries of machine reasoning and human-AI interaction.

In this high-impact role, you will not just build models; you will architect the very foundation of our next-generation product suite. We are looking for a technical leader who thrives in ambiguity and possesses the expertise to turn theoretical research into scalable, real-world applications.

Why Join Us?

  • Future-Proofing: Directly influence the AI architecture for the 2026 product cycle.
  • Elite Team: Collaborate with PhD-level researchers and industry veterans.
  • Equity Package: Competitive equity stake in a Series C-funded unicorn.

Responsibilities

  • Architect and deploy state-of-the-art Large Language Models (LLMs) and multimodal systems tailored for the 2026 market landscape.
  • Lead the research and optimization of model inference pipelines, ensuring sub-millisecond latency and high throughput.
  • Define technical roadmaps and mentor a team of junior data scientists and ML engineers.
  • Collaborate closely with product managers to translate complex AI capabilities into user-friendly features.
  • Ensure all AI systems adhere to strict ethical guidelines, safety protocols, and regulatory compliance standards.
  • Conduct rigorous performance benchmarking and model evaluation to drive continuous improvement.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Proven track record of deploying production-grade ML models at scale.
  • Strong understanding of transformer architectures, attention mechanisms, and reinforcement learning.
  • Excellent communication skills with the ability to bridge the gap between technical and non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM MLOps AWS Kubernetes Transformer Architecture Reinforcement Learning

Ready to Take This Challenge?

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

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