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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Future Tech Architect

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
7 Juli 2026
Deadline
7 Jul 2027

Job Description

We are seeking a visionary Senior AI & Future Tech Architect to lead our mission in defining the technological landscape for 2026 and beyond. Nexus Horizon Labs is at the forefront of integrating generative AI, quantum computing, and sustainable energy solutions into scalable enterprise infrastructure. You will not just be maintaining systems; you will be architecting the future.

In this pivotal role, you will collaborate with cross-functional teams to deploy next-generation algorithms, optimize cloud-native environments, and ensure our platforms are resilient against the challenges of a hyper-connected world. Join us in shaping the narrative of technology in the coming years.

Responsibilities

  • Architect Next-Gen Solutions: Design and implement robust, scalable AI-driven architectures tailored for 2026 performance benchmarks.
  • Lead Innovation Sprints: Spearhead internal R&D initiatives focusing on generative AI, neural networks, and edge computing.
  • Infrastructure Optimization: Oversee the migration and management of hybrid cloud environments to ensure 99.99% uptime and energy efficiency.
  • Strategic Roadmapping: Define long-term technical roadmaps that align with company goals and emerging industry trends.
  • Team Mentorship: Guide junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field; PhD preferred.
  • Experience: 8+ years of professional experience in software engineering, with at least 3 years in AI/ML architecture.
  • Technical Proficiency: Deep expertise in Python, TensorFlow/PyTorch, and cloud platforms (AWS/GCP/Azure).
  • Future Tech Knowledge: Familiarity with quantum computing concepts and edge AI deployment strategies.
  • Leadership: Proven track record of leading high-performance engineering teams and delivering complex projects on time.

Required Skills

Python Machine Learning Cloud Architecture AWS TensorFlow System Design Leadership Quantum Computing Generative AI

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