Job Description
We are at the precipice of a technological revolution. As we accelerate toward the 2026 era of computing, Apex Horizon Technologies is seeking a visionary Principal AI Architect to spearhead our strategic initiatives. You will define the infrastructure that powers the next generation of autonomous systems and generative intelligence.
In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable, enterprise-grade software solutions. If you are passionate about shaping the future and possess the technical acumen to architect systems that redefine what is possible, we want to hear from you.
Responsibilities
- Strategic Roadmap Planning: Define and execute the technical vision for AI systems to be deployed in the 2026 timeframe, focusing on scalability, latency, and cost-efficiency.
- Architectural Leadership: Design and oversee the implementation of distributed machine learning pipelines and large-scale data lake architectures.
- Model Optimization: Lead efforts in model compression, quantization, and inference optimization to ensure real-time performance on edge devices.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to translate business requirements into robust technical architectures.
- Ethical AI Governance: Establish frameworks for bias mitigation, transparency, and compliance with upcoming AI regulations in 2026.
- Talent Development: Mentor senior engineers and contribute to a culture of continuous learning and technical excellence.
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 architectural role within AI/ML.
- Technical Expertise: Deep proficiency in PyTorch, TensorFlow, or JAX, with proven experience deploying LLMs and Generative AI models.
- Infrastructure: Strong background in cloud-native architectures (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
- Problem Solving: Demonstrated ability to solve complex, large-scale problems in high-pressure environments.
- Communication: Exceptional verbal and written communication skills, capable of articulating complex technical concepts to non-technical stakeholders.