Job Description
We are pioneering the future of intelligence, and we need a visionary leader to architect our roadmap for 2026. Join Quantum Horizon Systems as our Lead AI Architect and define the technological foundation for the next generation of autonomous systems.
In this high-impact role, you will bridge the gap between theoretical AI research and scalable, real-world engineering. You will be responsible for the end-to-end technical strategy that will propel our capabilities into 2026 and beyond. If you are passionate about ethical AI, large-scale infrastructure, and shaping the future of technology, we want to hear from you.
Why Join Us?
- Work on cutting-edge Generative AI and Neural Network architectures.
- Competitive compensation package and equity options.
- Flexible remote-first culture with access to top-tier tech infrastructure.
Responsibilities
- Define the 2026 Technical Vision: Create and maintain a comprehensive architectural roadmap for AI and Machine Learning initiatives, aligning technical milestones with business goals.
- Design Scalable Infrastructure: Architect robust, fault-tolerant systems capable of handling petabyte-scale data processing and real-time inference.
- Lead Engineering Excellence: Mentor senior engineers and architects, conducting code reviews, and establishing best practices for MLOps and deployment.
- Drive Innovation: Research and evaluate emerging technologies (e.g., Quantum AI, Neuromorphic Computing) to integrate into our product pipeline.
- Stakeholder Management: Translate complex technical concepts into clear strategies for executive leadership and cross-functional product teams.
- Ensure Compliance: Implement rigorous governance and ethical AI frameworks to ensure safety and transparency in our models.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 10+ years of experience in software engineering, with at least 5 years in a senior architecture or leadership role.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with distributed computing frameworks (Spark, Flink).
- Cloud Expertise: Strong background designing solutions on AWS, GCP, or Azure with a focus on serverless and containerized architectures.
- Strategic Mindset: Proven ability to define long-term technical roadmaps and drive them to successful execution.
- Communication: Exceptional ability to communicate complex technical strategies to non-technical stakeholders.