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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect (2026 Horizon Initiative)

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

Job Description

Are you ready to architect the future? Nexus Future Systems is seeking a visionary Lead AI Architect to spearhead our 2026 Horizon Initiative. We are building the foundational infrastructure for the next generation of autonomous AI agents, and we need a technical leader who thrives in ambiguity and complexity.

In this pivotal role, you will define the architectural blueprint for our proprietary LLM platform, ensuring scalability, security, and real-time processing capabilities. You won't just be coding; you will be shaping the strategic direction of our technology stack for the decade ahead.

Why Join Us?

  • Work on cutting-edge AI infrastructure that will define the 2026 landscape.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with premium office amenities in San Francisco.

Responsibilities

  • Design and implement scalable, high-performance AI infrastructure architectures aligned with the 2026 roadmap.
  • Lead the technical strategy for integrating Generative AI models into enterprise workflows.
  • Mentor senior engineers and junior developers, fostering a culture of innovation and best practices.
  • Collaborate with product managers and data scientists to translate business requirements into technical solutions.
  • Ensure system reliability, security, and compliance with industry standards (SOC2, GDPR).
  • Drive the adoption of emerging technologies to stay ahead of the competition.

Qualifications

  • 10+ years of experience in software architecture, with at least 4 years specifically in AI/ML infrastructure.
  • Expert proficiency in Python, TensorFlow, PyTorch, and large language models (LLMs).
  • Deep understanding of cloud-native architecture (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • Proven track record of leading cross-functional teams and delivering complex projects on time.
  • Strong knowledge of distributed systems, microservices, and high-availability design patterns.
  • Master's degree in Computer Science, Artificial Intelligence, or a related technical field is preferred.

Required Skills

Python Machine Learning Cloud Architecture AWS TensorFlow Kubernetes Microservices System Design Generative AI Leadership

Ready to Take This Challenge?

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