Job Description
Shape the Future of Intelligence
We are not just predicting the future; we are building it. Apex Horizon Systems is seeking a visionary Senior AI Architect to spearhead our '2026 Vision' initiative, focusing on the next generation of artificial general intelligence and quantum-enhanced computing.
In this pivotal role, you will bridge the gap between theoretical breakthroughs and scalable production systems, ensuring our technology remains at the bleeding edge of the industry.
The Role
As a Senior AI Architect, you will design the core infrastructure for our neural networks and integrate quantum algorithms into our primary workflows. You will lead a team of elite engineers and data scientists, defining the technical roadmap for the year 2026 and beyond.
Responsibilities
- Lead Architecture: Design and oversee the development of scalable, high-performance machine learning models and neural network architectures tailored for future computing paradigms.
- Quantum Integration: Collaborate with quantum researchers to implement hybrid quantum-classical algorithms that solve complex computational problems.
- Strategic Roadmap: Define the technical vision for the 2026 product suite, ensuring alignment with business goals and emerging industry standards.
- Talent Development: Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning within the technical team.
- System Optimization: Drive performance tuning for large-scale data processing pipelines, focusing on latency reduction and energy efficiency.
- Prototyping: Rapidly prototype and validate new AI methodologies, transitioning successful concepts into production-ready code.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
- Experience: 8+ years of professional experience in software engineering, with at least 5 years focused specifically on AI/ML architecture and deep learning.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud infrastructure (AWS/GCP/Azure).
- Foundational Knowledge: Strong understanding of linear algebra, calculus, and statistics; familiarity with quantum computing concepts is a major plus.
- Leadership: Demonstrated ability to lead cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
- Innovation: A track record of implementing innovative solutions that have driven measurable business impact.