Job Description
Are you ready to architect the technological landscape of 2026? Quantum Horizon Systems is seeking a visionary Senior AI Architect to lead our next-generation neural infrastructure. In this pivotal role, you will define the AI strategies that will drive our enterprise solutions for the coming decade. We are not just building software; we are engineering the future of intelligent automation.
Join a team of elite engineers and data scientists dedicated to pushing the boundaries of Generative AI, Large Language Models (LLMs), and predictive analytics. You will have the autonomy to experiment with cutting-edge technologies and the responsibility to deploy scalable, secure, and ethical AI systems that impact millions.
Why Join Us?
- Work on mission-critical projects that define industry standards.
- Access to top-tier computing resources and proprietary datasets.
- Competitive equity package and performance bonuses.
- Flexible remote-first culture with a focus on work-life balance.
Responsibilities
- Lead the architectural design and implementation of advanced AI models, including Transformers and Graph Neural Networks, tailored for 2026 scalability requirements.
- Define and execute the long-term AI roadmap, identifying emerging technologies (e.g., Neuromorphic Computing, Quantum AI interfaces) and integrating them into our stack.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence within the AI division.
- Collaborate cross-functionally with product managers and security teams to ensure AI solutions are robust, compliant, and user-centric.
- Optimize model inference speeds and reduce computational costs through advanced quantization and distributed training strategies.
- Conduct rigorous code reviews and architectural audits to ensure system integrity and scalability.
- Stay ahead of industry trends by publishing research papers and contributing to open-source AI communities.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence or Machine Learning.
- 10+ years of professional experience in software engineering and AI development, with at least 4 years in a senior architectural or lead role.
- Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps tools (e.g., Kubeflow, MLflow).
- Proven experience deploying Large Language Models (LLMs) and Generative AI applications in production environments.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and high-availability system design.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
- Certifications in cloud architecture (e.g., AWS Solutions Architect) or AI (e.g., Google Professional Machine Learning Engineer) are highly preferred.