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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Solutions Architect (2026 Roadmap)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to define the technology landscape of 2026?

Nexus Horizon Labs is seeking a visionary Senior AI Solutions Architect to spearhead our upcoming generation of autonomous systems. As we prepare for the future of tech, we need a mastermind who can bridge the gap between theoretical AI and scalable, real-world infrastructure.

Join a team that is not just adapting to the future, but creating it. You will work on cutting-edge Large Language Models (LLMs), Generative AI, and predictive analytics systems designed to revolutionize enterprise operations.

Why Join Us?

  • Work on proprietary technology that will set the industry standard.
  • Competitive equity package and top-tier health benefits.
  • Flexible remote-first culture with HQ access in San Francisco.

Responsibilities

  • Architectural Leadership: Design and implement robust, scalable AI infrastructure aligned with the 2026 product roadmap.
  • Model Optimization: Lead the fine-tuning and optimization of LLMs for high-performance edge computing environments.
  • Technical Strategy: Collaborate with product managers and data scientists to define technical specifications and best practices.
  • System Integration: Oversee the seamless integration of AI models into existing enterprise software ecosystems.
  • Mentorship: Guide a team of junior architects and engineers, fostering a culture of innovation and technical excellence.
  • R&D: Stay ahead of industry trends, particularly in Generative AI and Neural Networks, to ensure our tech stack remains future-proof.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • Experience: 8+ years of experience in software architecture, with a specific focus on Machine Learning and AI.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and Kubernetes.
  • System Design: Deep understanding of distributed systems, microservices, and cloud architecture (AWS/Azure/GCP).
  • Problem Solving: Demonstrated ability to solve complex technical problems under pressure.
  • Communication: Excellent verbal and written communication skills, capable of articulating complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Kubernetes AWS System Design AI Architecture Agile

Ready to Take This Challenge?

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

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