Job Description
Are you ready to architect the technology of tomorrow, today?
Horizon Dynamics is seeking a visionary Senior AI Systems Architect (Project 2026) to lead our next-generation artificial intelligence initiatives. We are not just predicting the future; we are building the systems that will define the era of 2026 and beyond. In this pivotal role, you will design scalable, high-performance neural networks and oversee their deployment in mission-critical environments.
Join a team of elite engineers and data scientists pushing the boundaries of what is possible. We offer a competitive benefits package, remote-first flexibility, and the opportunity to leave a lasting legacy in the tech industry.
Responsibilities
- Architectural Leadership: Design and implement robust AI system architectures specifically tailored for the operational demands of 2026 and beyond.
- Model Optimization: Lead the research and development of advanced machine learning models, focusing on efficiency, accuracy, and edge-computing capabilities.
- Technical Strategy: Define the technical roadmap for AI infrastructure, ensuring alignment with Horizon Dynamics' long-term strategic goals.
- Team Mentorship: Guide junior engineers and data scientists, fostering a culture of innovation, code quality, and continuous learning.
- Stakeholder Communication: Translate complex technical concepts into clear insights for non-technical stakeholders and executive leadership.
- Risk Management: Identify potential technical risks and implement mitigation strategies to ensure project delivery.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML systems architecture.
- Technical Skills: Proficiency in Python, C++, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Docker).
- Innovation: Proven track record of implementing cutting-edge technologies and adapting to rapidly evolving tech stacks.
- Leadership: Demonstrated ability to lead cross-functional teams and drive projects from concept to deployment.
- Communication: Excellent verbal and written communication skills in English.