Job Description
Shape the Future of Intelligence.
At Horizon Dynamics, we are not just preparing for 2026; we are defining it. We are seeking a visionary Senior AI Architect to lead our advanced R&D division. You will be at the forefront of integrating Generative AI, Autonomous Agents, and Quantum-ready Cloud Infrastructures into scalable enterprise solutions. If you have a passion for building the systems that will power the world in the next decade, we want to hear from you.
Why Join Us?
β’ Next-Gen Tech Stack: Work with the latest in Large Language Models (LLMs) and predictive algorithms.
β’ Impact: Your code will directly influence how industries operate in the 2026 landscape.
β’ Equity Package: Competitive stock options for long-term growth.
β’ Remote-First Culture: Flexible work arrangements with state-of-the-art home-office stipends.
Responsibilities
- Architect Future-Proof Systems: Design and implement resilient AI infrastructure capable of scaling for 2026 workloads, focusing on high availability and fault tolerance.
- Lead R&D Initiatives: Spearhead research into emerging AI paradigms, including multimodal learning and edge AI processing.
- Model Optimization: Fine-tune and optimize large-scale generative models to reduce inference costs and improve latency.
- Technical Strategy: Define the technical roadmap for the AI department, ensuring alignment with Horizon Dynamics' long-term business goals.
- Mentorship: Guide a team of talented engineers and data scientists, fostering a culture of continuous learning and innovation.
- Cross-Functional Collaboration: Partner with product managers, security experts, and stakeholders to translate complex requirements into elegant technical solutions.
Qualifications
- Education: Masterβs or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 7+ years of experience in software engineering and 3+ years in designing complex AI/ML systems.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Docker).
- AI Expertise: Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
- Problem Solving: Demonstrated ability to solve ambiguous technical challenges with innovative solutions.
- Leadership: Proven track record of leading high-performance engineering teams.