Job Description
At Horizon Dynamics, we are not just predicting the future; we are architecting it. We are seeking a 2026 Visionary AI Lead to spearhead our strategic roadmap for the year 2026. In this high-impact role, you will define the technological foundation for our next generation of autonomous systems and predictive analytics.
As we approach the pivotal year of 2026, our goal is to integrate cutting-edge Large Language Models (LLMs) with next-gen edge computing. You will be responsible for translating high-level business objectives into scalable, secure, and innovative technical solutions that position us as industry leaders.
Key Highlights:
- Lead the technical vision for Horizon Dynamics' 2026 product suite.
- Design and deploy scalable AI infrastructure capable of handling petabyte-scale data.
- Bridge the gap between research labs and production engineering teams.
- Drive innovation in ethical AI and responsible data usage.
- Establish thought leadership within the 2026 technology ecosystem.
Requirements:
- 10+ years of experience in Software Engineering and Artificial Intelligence.
- Proven track record of leading large-scale AI projects from conception to deployment.
- Expertise in Python, PyTorch, TensorFlow, and distributed systems.
- Strong understanding of machine learning operations (MLOps) and cloud architecture (AWS/GCP).
- Excellent communication skills with the ability to articulate complex technical concepts to stakeholders.
Responsibilities
- Lead the technical vision for Horizon Dynamics' 2026 product suite.
- Design and deploy scalable AI infrastructure capable of handling petabyte-scale data.
- Bridge the gap between research labs and production engineering teams.
- Drive innovation in ethical AI and responsible data usage.
- Establish thought leadership within the 2026 technology ecosystem.
Qualifications
- 10+ years of experience in Software Engineering and Artificial Intelligence.
- Proven track record of leading large-scale AI projects from conception to deployment.
- Expertise in Python, PyTorch, TensorFlow, and distributed systems.
- Strong understanding of machine learning operations (MLOps) and cloud architecture (AWS/GCP).
- Excellent communication skills with the ability to articulate complex technical concepts to stakeholders.