Job Description
The Future is Here. Quantum Horizon Inc. is pioneering the technological landscape of 2026 and beyond. We are seeking a visionary Lead AI Architect to spearhead the development of next-generation artificial intelligence systems. If you are passionate about building scalable, ethical, and transformative AI solutions that will define the industry standards for the coming decade, this is your opportunity to lead from the front.
In this role, you will bridge the gap between theoretical machine learning research and production-grade engineering. You will be responsible for designing the architecture of our core AI platforms, mentoring a team of elite engineers, and ensuring our systems are robust, secure, and ready for the challenges of the future.
Responsibilities
- Architect and design end-to-end AI solutions, including large language models (LLMs) and predictive analytics engines, tailored for the 2026 market.
- Define and drive the technical vision and roadmap for AI infrastructure, ensuring scalability and high performance.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical specifications.
- Oversee the deployment of machine learning models into production environments, focusing on CI/CD pipelines and MLOps best practices.
- Mentor and develop a high-performing engineering team, fostering a culture of innovation and continuous learning.
- Ensure ethical AI practices, data privacy compliance, and security standards are met across all projects.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in a leadership or architect role specifically focused on AI/ML.
- Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps frameworks (e.g., Kubeflow, MLflow).
- Proven experience designing cloud-native architectures on AWS, GCP, or Azure with a focus on serverless and microservices.
- Strong understanding of distributed systems, high-availability platforms, and big data processing technologies (Spark, Kafka).
- Exceptional problem-solving skills and the ability to navigate ambiguity in a fast-paced, innovative environment.