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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
7 Juli 2026
Deadline
7 Jul 2027

Job Description

We are a pioneering technology firm focused on defining the landscape of the mid-2020s. We are currently recruiting a visionary Senior AI Architect to lead the architectural vision for Project 2026. In this role, you will be responsible for designing scalable, secure, and high-performance systems that integrate next-generation Artificial Intelligence with legacy infrastructure. If you are passionate about the future of technology and want to leave a lasting legacy in the industry, we want to hear from you.

Why Join Us?

  • Work on cutting-edge AI and infrastructure projects.
  • Competitive compensation and equity package.
  • Flexible work environment in the heart of San Francisco.

Responsibilities

  • Define and oversee the overall system architecture for Project 2026, ensuring scalability, security, and performance.
  • Lead the design and implementation of AI-driven workflows, including machine learning pipelines and large language model integration.
  • Collaborate with cross-functional teams including software engineers, data scientists, and product managers to translate business requirements into technical solutions.
  • Conduct code reviews, technical debt audits, and architectural assessments to ensure best practices are maintained.
  • Mentor junior architects and engineers, fostering a culture of continuous learning and innovation.
  • Stay abreast of emerging technologies and industry trends to recommend innovative architectural improvements.

Qualifications

  • 10+ years of experience in software engineering and system architecture, with at least 5 years in AI/ML infrastructure.
  • Proven track record of leading large-scale distributed systems and cloud infrastructure projects.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of microservices architecture, containerization (Docker/Kubernetes), and CI/CD pipelines.
  • Master's degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes Microservices System Architecture Machine Learning Docker CI/CD

Ready to Take This Challenge?

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