Job Description
We are Apex Horizon Systems, a pioneer in next-generation intelligence. We are looking for a visionary Senior AI Architect to define the technological roadmap for our 2026 product suite. You will be at the forefront of integrating cutting-edge Generative AI with scalable cloud infrastructure.
In this role, you won't just maintain systems; you will architect the future. You will lead a team of elite engineers in building autonomous neural networks capable of solving complex global challenges. If you are passionate about the intersection of quantum computing and deep learning, we want to hear from you.
Responsibilities
- Architect Future-Proof Systems: Design and implement robust, scalable AI architectures specifically tailored for 2026 and beyond.
- Lead Innovation: Spearhead research and development into next-gen machine learning models, including Large Language Models (LLMs) and reinforcement learning agents.
- Technical Strategy: Define the technical vision for our AI stack, ensuring alignment with business goals and industry trends.
- Team Leadership: Mentor senior engineers and data scientists, fostering a culture of technical excellence and innovation.
- System Optimization: Oversee the deployment of models with low-latency requirements and high-throughput processing.
- Stakeholder Collaboration: Translate complex technical concepts into actionable strategies for executive stakeholders.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Technical Mastery: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
- Visionary Thinking: Proven track record of anticipating industry shifts and implementing adaptive technologies.
- Leadership: Demonstrated ability to lead cross-functional teams in high-pressure environments.
- Problem Solving: Ability to architect solutions for ambiguous, large-scale problems.