Job Description
Welcome to QuantumLeap Systems, where we are pioneering the next generation of artificial intelligence infrastructure. We are seeking a visionary Senior AI Architect to lead the development of our 2026 roadmap and define the technical standards for the future.
The Opportunity
In this role, you will not just build software; you will architect the future. You will work at the intersection of Machine Learning, Quantum Computing, and Cloud Infrastructure to solve complex problems that define the 2026 landscape. If you are passionate about pushing the boundaries of what's possible and want to shape the industry standard, we want to meet you.
Key Responsibilities
As a Senior AI Architect, you will:
- Lead the architectural design and implementation of scalable AI models and data pipelines focused on long-term scalability.
- Define the technical strategy and 2026 product roadmap, ensuring alignment with business goals and emerging technologies.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to deliver high-impact solutions.
- Optimize existing systems for performance, security, and efficiency in a hybrid cloud environment.
- Stay ahead of industry trends, specifically regarding Generative AI and predictive analytics advancements.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years specializing in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
- Proven experience designing microservices and cloud-native applications on AWS or Azure.
- Strong understanding of data structures, algorithms, and software design patterns.
- Excellent leadership skills with a track record of mentoring junior engineers.
Why Join Us?
We offer a competitive benefits package, including equity, remote work flexibility, and continuous learning opportunities. Join us in building the future of technology.
Responsibilities
- Lead the architectural design and implementation of scalable AI models and data pipelines focused on long-term scalability.
- Define the technical strategy and 2026 product roadmap, ensuring alignment with business goals and emerging technologies.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to deliver high-impact solutions.
- Optimize existing systems for performance, security, and efficiency in a hybrid cloud environment.
- Stay ahead of industry trends, specifically regarding Generative AI and predictive analytics advancements.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years specializing in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
- Proven experience designing microservices and cloud-native applications on AWS or Azure.
- Strong understanding of data structures, algorithms, and software design patterns.
- Excellent leadership skills with a track record of mentoring junior engineers.