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Information Technology 🏒 Full Time ⭐️ Verified

Principal AI Engineer: 2026 Technology Roadmap

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are looking for a visionary Principal AI Engineer to spearhead our technology roadmap leading into 2026. As a forward-thinking leader in the tech industry, Nexus Horizon is committed to defining the next generation of intelligent systems. You will be at the forefront of architectural decisions that will shape our products for the 2026 era and beyond.

In this role, you will bridge the gap between theoretical AI research and scalable production engineering. You will mentor a team of elite engineers and drive the innovation required to stay ahead of the curve in a rapidly evolving landscape.

Responsibilities

  • Define the 2026 Vision: Lead the strategic technical roadmap for AI infrastructure, identifying emerging trends in generative AI and quantum computing integration.
  • Architect Scalable Solutions: Design and implement robust, high-performance machine learning pipelines capable of handling enterprise-grade data loads.
  • Technical Mentorship: Foster a culture of excellence by mentoring junior and mid-level engineers, conducting code reviews, and leading technical architecture reviews.
  • Collaboration: Work closely with product managers, data scientists, and stakeholders to translate business goals into technical specifications.
  • Optimization: Continuously optimize model performance, reduce latency, and enhance computational efficiency for deployment.
  • R&D Leadership: Stay at the bleeding edge of industry standards, evaluating and integrating new tools and frameworks relevant to the 2026 tech landscape.

Qualifications

  • Experience: 8+ years of experience in software engineering with a focus on Artificial Intelligence and Machine Learning.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
  • Education: Master’s degree or PhD in Computer Science, Machine Learning, or a related field is strongly preferred.
  • Architecture: Proven track record of designing and deploying large-scale machine learning systems in cloud environments (AWS, GCP, or Azure).
  • Leadership: Demonstrated ability to lead cross-functional teams and drive technical strategy.
  • Problem Solving: Exceptional analytical and problem-solving skills with a focus on delivering results in complex environments.

Required Skills

Artificial Intelligence Machine Learning Python Deep Learning 2026 Tech Roadmap Cloud Computing AWS GCP TensorFlow PyTorch Distributed Systems System Design

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