Job Description
Are you ready to define the technological landscape of 2026? Horizon Systems is seeking a visionary Lead AI Architect to spearhead our next-generation infrastructure. We are building the engines of tomorrow, today, and you will be at the forefront of designing scalable, secure, and transformative AI systems that will dominate the industry standard in the coming years.
In this role, you won't just maintain legacy systems; you will architect the very fabric of our predictive intelligence platform. If you are passionate about pushing the boundaries of Generative AI, Quantum Computing integration, and next-gen Neural Networks, this is your opportunity to lead a world-class team.
Why Join Horizon Systems?
- Work on cutting-edge projects that define the 2026 tech roadmap.
- Competitive compensation and equity package.
- Flexible remote-first culture with premium health benefits.
- Access to state-of-the-art computing resources and R&D labs.
Responsibilities
- Strategic Architecture: Design and implement high-level system architecture for autonomous AI agents and predictive analytics platforms targeting deployment in the 2026 timeframe.
- Neural Network Optimization: Lead the research and development of proprietary Large Language Models (LLMs) and deep learning frameworks, focusing on reduced latency and increased inference accuracy.
- Future-Proofing: Evaluate emerging technologies (e.g., Neuromorphic computing) and integrate them into our current stack to ensure our infrastructure remains relevant and powerful.
- Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Stakeholder Collaboration: Translate complex technical concepts into actionable strategies for executive leadership and product teams.
- Security & Compliance: Ensure all AI systems adhere to the highest standards of data privacy and ethical AI governance.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- Experience: 7+ years of experience in software engineering, with at least 3 years in a senior architectural role within AI/ML.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and C++. Deep understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- 2026 Vision: Demonstrated ability to anticipate industry trends and integrate forward-thinking technologies into practical applications.
- Problem Solving: Exceptional analytical skills with a track record of solving complex, unstructured problems in high-pressure environments.
- Communication: Excellent verbal and written communication skills, capable of presenting technical roadmaps to non-technical stakeholders.