Home Job Details
Q
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Quantum Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are looking for a visionary Senior AI Architect to spearhead the development of our next-generation systems designed for the 2026 landscape. As we bridge the gap between current AI capabilities and future agentic workflows, you will be responsible for designing scalable, secure, and intelligent architectures that define the future of enterprise automation.

In this role, you will lead a team of engineers in deploying autonomous agents, multimodal models, and spatial computing integrations. If you are passionate about the trajectory of AI and want to build the infrastructure that powers the world in 2026, we want to hear from you.

Why Join Us?

  • Work on cutting-edge Agentic AI systems.
  • Competitive compensation package with equity.
  • Remote-first culture with HQ in the heart of SF.

Responsibilities

  • Design and implement end-to-end AI architectures for autonomous agents and LLM orchestration.
  • Lead technical strategy for integrating emerging technologies (e.g., spatial computing, edge AI) expected in the 2026 roadmap.
  • Ensure system scalability, security, and ethical AI compliance across all deployments.
  • Collaborate with product managers and data scientists to translate business requirements into technical roadmaps.
  • Mentor junior engineers and foster a culture of continuous innovation and learning.
  • Optimize model inference performance and reduce latency for real-time applications.

Qualifications

  • Master’s degree in Computer Science, AI, or related field (or equivalent professional experience).
  • 7+ years of experience in software engineering, with at least 3 years in AI/ML architecture.
  • Deep proficiency in Python, TensorFlow, PyTorch, and modern MLOps tools (Kubeflow, MLflow).
  • Proven experience building and deploying Large Language Models (LLMs) and RAG architectures.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization (Docker/K8s).
  • Experience with ethical AI frameworks and bias mitigation strategies.

Required Skills

AI Architecture Machine Learning Python LLM MLOps Kubernetes Docker Cloud Computing AWS GCP

Ready to Take This Challenge?

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

Apply Now

Related Jobs

Similar job recommendations for you

View All