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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Apex Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the future of technology? Apex Horizon Labs is seeking a visionary Senior AI Architect to lead Project 2026, our ambitious initiative to define the next generation of artificial intelligence and human-machine integration.

In this pivotal role, you will build the foundational systems required to support our roadmap through the year 2026 and beyond. You will not just write code; you will design the infrastructure that powers the future.

What You'll Do

We are looking for a leader who thrives on complexity and innovation. You will be responsible for the technical vision, architectural integrity, and scalability of our core AI platforms.

Responsibilities

  • Lead the architectural design and implementation of scalable Machine Learning and Deep Learning systems for Project 2026.
  • Define and enforce technical standards, best practices, and coding guidelines across the engineering organization.
  • Collaborate with cross-functional teams of data scientists, quantum researchers, and product managers to translate business goals into technical roadmaps.
  • Conduct research into emerging technologies (e.g., Neuromorphic Computing, Edge AI) to ensure our solutions remain cutting-edge.
  • Optimize existing models for production environments, focusing on latency, throughput, and resource efficiency.
  • Mentor junior engineers and architects, fostering a culture of continuous learning and technical excellence.
  • Manage technical risks and drive problem-solving for complex system integrations.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a senior architecture or leadership role.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems architecture.
  • Strong understanding of large language models (LLMs), transformers, and generative AI workflows.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
  • Familiarity with quantum computing concepts or a strong willingness to learn and apply them.
  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • Exceptional communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning AI Distributed Systems Cloud Architecture Kubernetes TensorFlow PyTorch System Design Leadership

Ready to Take This Challenge?

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

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