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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect: 2026 Readiness

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

About Nexus Horizon Solutions: We are pioneering the next generation of autonomous systems. As we gear up for our 2026 global rollout, we are seeking a visionary Lead AI Architect to design the resilient, scalable infrastructure that will power our ecosystem. You won't just be maintaining systems; you will be architecting the future of AI interaction.


The Role: In this pivotal position, you will bridge the gap between cutting-edge Machine Learning models and robust, high-performance infrastructure. You will be responsible for defining the architectural standards that ensure our AI systems remain secure, efficient, and ahead of the curve as we approach the 2026 technological paradigm shift.


Why Join Us?
- Work on mission-critical AI infrastructure.
- Competitive compensation and equity package.
- Remote-first culture with quarterly team retreats.

Responsibilities

  • Design and implement scalable cloud-native architectures (AWS/Azure) optimized for high-throughput AI workloads.
  • Lead the migration and modernization strategy to ensure 2026-ready infrastructure standards.
  • Collaborate with Data Science teams to optimize model inference and deployment pipelines.
  • Ensure end-to-end security, compliance, and disaster recovery protocols for all AI systems.
  • Architect real-time data streaming solutions to handle massive datasets generated by our neural networks.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years specializing in AI/ML infrastructure.
  • Deep expertise in Python, TensorFlow, PyTorch, and Kubernetes orchestration.
  • Proven experience designing microservices architectures and serverless solutions.
  • Strong background in distributed systems, cloud computing, and edge computing technologies.
  • Excellent communication skills with the ability to translate technical requirements for non-technical stakeholders.

Required Skills

Python Kubernetes TensorFlow AWS Azure Machine Learning Cloud Architecture Docker Microservices AI Infrastructure

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