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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Strategy Engineer

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to architect the technological landscape of 2026? Nexus Horizon Labs is seeking a visionary Senior AI Strategy Engineer to lead our next-generation generative intelligence initiatives. We are building the infrastructure that will define the future of autonomous agents and adaptive learning systems.

In this pivotal role, you will bridge the gap between cutting-edge machine learning research and scalable product engineering. You won't just be writing code; you will design the cognitive frameworks that power our enterprise solutions.

Why join us?

  • Work on the frontier of Artificial General Intelligence (AGI) research.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with hubs in San Francisco and New York.
  • Access to the latest hardware and proprietary datasets.

Responsibilities

  • Architect AI Solutions: Design and implement scalable machine learning pipelines and generative models capable of processing multi-modal data inputs.
  • Strategy Development: Define technical roadmaps for 2026 and beyond, aligning AI capabilities with business objectives.
  • Model Optimization: Fine-tune large language models (LLMs) and transformer architectures to maximize inference speed and reduce computational costs.
  • Ethical AI Compliance: Ensure all deployed models adhere to strict bias mitigation, transparency, and safety protocols.
  • Cross-Functional Leadership: Collaborate with product managers, data scientists, and security teams to deliver enterprise-grade AI products.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field; Ph.D. preferred.
  • Experience: 5+ years of experience in software engineering with a strong focus on Machine Learning and Deep Learning.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and CUDA programming.
  • AI Expertise: Deep understanding of NLP, Computer Vision, and Reinforcement Learning.
  • Problem Solving: Proven track record of solving complex technical challenges in high-stakes environments.
  • Communication: Excellent ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning Natural Language Processing (NLP) TensorFlow PyTorch CUDA AWS Generative AI LLMs

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