Job Description
We are not just predicting the future; we are building it. Quantum Core Systems is at the forefront of the Year 2026 technological revolution. We are seeking a visionary Lead AI Architect to design the neural infrastructures that will power the next generation of autonomous intelligence. If you want to leave a legacy in the tech landscape of tomorrow, this is your mission.
In this pivotal role, you will spearhead the development of our flagship AI product, focusing on scalability, ethical machine learning, and next-gen neural interfaces. You will work alongside world-class engineers and futurists to bridge the gap between current deep learning models and the advanced capabilities required by 2026.
Why Join Us?
- Be part of the team defining the Year 2026 roadmap.
- Competitive compensation package with equity options.
- State-of-the-art equipment and a collaborative workspace.
Responsibilities
- Architect Future AI Solutions: Design and implement scalable neural network architectures that push the boundaries of current AI capabilities.
- Roadmap Leadership: Define the technical strategy and milestones for the 2026 product release cycle, ensuring alignment with business goals.
- Model Optimization: Enhance existing models for real-time inference, low-latency processing, and high-accuracy decision-making in dynamic environments.
- Team Mentorship: Lead a high-performing team of data scientists and ML engineers, fostering a culture of innovation and continuous learning.
- Ethical AI Compliance: Ensure all AI systems adhere to strict ethical guidelines, bias mitigation protocols, and regulatory standards.
- Research & Development: Stay ahead of the curve by integrating cutting-edge research (e.g., Transformer models, Generative AI) into production pipelines.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- Experience: Minimum of 7+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture and deep learning.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Apache Spark, Kubernetes).
- System Design: Proven track record of designing large-scale, fault-tolerant systems that handle millions of requests per second.
- Problem Solving: Exceptional ability to solve complex, unstructured problems and translate them into elegant technical solutions.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.