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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI & Future Tech Architect

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are defining the technological landscape of 2026. Nexus Horizon Labs is seeking a visionary Lead AI & Future Tech Architect to spearhead our next-generation artificial intelligence initiatives. In this pivotal role, you will bridge the gap between theoretical breakthroughs and practical application, ensuring our infrastructure is primed for the rapid evolution of AI by 2026. You will lead a team of elite engineers, define architectural strategies for scalable machine learning systems, and ensure our products remain at the forefront of the industry. Join us to build the future of intelligence.

Responsibilities

  • Define and execute the technical roadmap for AI systems targeting the 2026 market landscape.
  • Lead the architecture of scalable, high-performance machine learning models and data pipelines.
  • Collaborate with cross-functional teams to integrate AI solutions into core product offerings.
  • Mentor senior engineers and technical leads, fostering a culture of innovation and technical excellence.
  • Conduct research into emerging technologies (e.g., Quantum AI, Generative Adversarial Networks) to inform strategic decisions.
  • Ensure data security, compliance, and ethical AI practices across all engineering projects.
  • Drive technical decision-making regarding cloud infrastructure and edge computing deployments.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field; 10+ years of relevant experience.
  • Proven track record of leading large-scale AI/ML engineering teams and projects.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
  • Strong understanding of Large Language Models (LLMs) and Generative AI architectures.
  • Exceptional problem-solving skills with the ability to navigate ambiguity in fast-paced environments.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Kubernetes, Docker).
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Architecture Kubernetes AWS Leadership Strategy

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