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Information Technology 🏒 Full Time ⭐️ Verified

AI Architect (2026 Horizon)

Nebula Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are looking for a visionary AI Architect (2026 Horizon) to lead our cutting-edge initiatives. At Nebula Future Systems, we are building the foundational infrastructure for the next era of intelligent computing. If you are passionate about shaping the future of technology and have a knack for solving complex architectural challenges, we want to hear from you.

In this role, you will define the roadmap for our 2026 platform, integrating advanced Machine Learning models with scalable cloud architectures. You will work in a fast-paced, high-performance environment where your contributions will directly impact millions of users worldwide.

Responsibilities

  • Design and implement scalable, high-performance AI infrastructure tailored for the 2026 Horizon project.
  • Lead the architectural strategy for integrating Large Language Models (LLMs) into core product systems.
  • Collaborate with cross-functional teams (Product, Engineering, Design) to translate business requirements into technical solutions.
  • Ensure system reliability, security, and ethical AI compliance across all deployed models.
  • Mentor junior engineers and foster a culture of continuous learning and innovation.
  • Optimize existing codebases to improve latency and processing speeds for real-time applications.
  • Stay ahead of industry trends to propose forward-thinking technological improvements.

Qualifications

  • 10+ years of experience in software engineering and systems architecture, with at least 5 years specifically in AI/ML engineering.
  • Proficiency in Python, Rust, or Go, with deep understanding of RESTful APIs and microservices.
  • Hands-on experience deploying and managing LLMs and Generative AI models (e.g., GPT, Claude, Llama).
  • Strong background in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Experience with data pipelines, ETL processes, and vector databases.
  • Excellent problem-solving skills and the ability to thrive in ambiguous, future-focused environments.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field is preferred.

Required Skills

Python Rust Machine Learning Cloud Architecture Kubernetes LLM AI Engineering System Design San Francisco CA

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