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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI & Quantum Integration Lead

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

Job Description

Are you ready to define the next era of technology?

We are at the precipice of a revolutionary leap in computing, and Nexus Horizon is seeking a visionary 2026 AI & Quantum Integration Lead to architect the systems that will define the next decade. If you thrive on solving complex, unsolved problems and leading high-performance teams, this is your calling.

In this pivotal role, you will bridge the gap between theoretical AI capabilities and real-world applications. You won't just be writing code; you will be establishing the foundational standards for how autonomous systems and quantum computing will interact with modern business infrastructures.

Responsibilities

  • Architect and deploy scalable AI models capable of handling 2026-scale data demands and predictive analytics.
  • Lead the integration of emerging quantum computing solutions into existing cloud workflows.
  • Mentor senior engineering teams and foster a culture of continuous innovation and technical excellence.
  • Conduct technical due diligence to ensure our product roadmap is future-proof against rapid technological shifts.
  • Collaborate with cross-functional stakeholders to translate complex technical strategies into actionable business value.
  • Oversee the security and ethical implementation of autonomous AI agents.

Qualifications

  • 10+ years of experience in Software Engineering, with a focus on AI, Machine Learning, or High-Performance Computing.
  • Proven track record of leading high-performance engineering teams in a startup or fast-paced environment.
  • Deep expertise in Python, TensorFlow, PyTorch, and familiarity with cloud infrastructure (AWS/GCP).
  • Experience with Large Language Models (LLMs), generative AI workflows, and neural architecture search.
  • Strong problem-solving skills with a focus on building scalable, fault-tolerant systems.
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
  • PhD in Computer Science or related field is highly preferred.

Required Skills

Python TensorFlow PyTorch Quantum Computing AI Architecture Cloud Computing AWS Machine Learning Leadership

Ready to Take This Challenge?

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