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Information Technology 🏒 Full Time ⭐️ Verified

Horizon 2026 AI Integration Lead

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the future of technology? Nexus Future Systems is seeking a visionary Horizon 2026 AI Integration Lead to spearhead our next generation of intelligent solutions.

In this pivotal role, you will bridge the gap between theoretical AI advancements and practical, scalable deployment. We are looking for a strategic thinker who is passionate about the technological landscape leading up to 2026 and beyond. You will guide our engineering teams in adopting cutting-edge generative models and autonomous systems.

Why Join Us?

  • Work on groundbreaking projects that shape the future.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work options.
  • Access to top-tier technical resources and mentorship.

Responsibilities

  • Architect and implement the long-term AI roadmap specifically aligned with the Horizon 2026 vision.
  • Lead the integration of Large Language Models (LLMs) and Generative AI into core enterprise workflows.
  • Collaborate with product managers and engineering leads to translate technical roadmaps into business value.
  • Establish and enforce best practices for ethical AI, data privacy, and model governance.
  • Conduct architectural reviews to ensure system scalability, security, and performance.
  • Stay ahead of emerging tech trends, analyzing their potential impact on the 2026 landscape.

Qualifications

  • 10+ years of experience in software engineering with a strong focus on Artificial Intelligence and Machine Learning.
  • Proven experience leading high-performance teams and managing cross-functional projects.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Hands-on experience deploying LLMs and fine-tuning models for enterprise use cases.
  • Master’s degree in Computer Science, Data Science, or a related field (PhD preferred).
  • Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and MLOps pipelines.

Required Skills

Python Machine Learning AI Architecture Generative AI LLMs TensorFlow PyTorch MLOps Cloud Computing Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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