Job Description
About Us: Apex Horizon Systems is pioneering the technological landscape of 2026. We are seeking a visionary Senior AI Architect to design the foundational models for the next generation of autonomous agents and cognitive computing systems.
Role Overview:
In this pivotal role, you will not just adapt to the future of AI; you will define it. You will be responsible for building scalable, efficient, and ethical machine learning infrastructure that powers our flagship products. This is a unique opportunity to shape the digital landscape of the coming years.
Why Join Us?
Work on cutting-edge projects that define the future of human-computer interaction. We offer a competitive benefits package, equity opportunities, and a culture that fosters innovation and technical excellence.
Responsibilities
- Architect Next-Gen ML Pipelines: Design and implement robust, scalable machine learning pipelines capable of processing petabytes of real-time data.
- Optimize LLM Inference: Enhance the speed and cost-efficiency of Large Language Model deployments using advanced quantization and model distillation techniques.
- Pioneering Agentic AI: Develop core logic for autonomous AI agents that can plan, reason, and execute complex multi-step tasks independently.
- Ethical AI Governance: Implement rigorous bias detection and fairness protocols to ensure responsible AI deployment.
- Cross-Functional Leadership: Collaborate with product managers and engineering teams to translate complex technical requirements into cutting-edge solutions.
- Research Integration: Stay ahead of the curve by integrating emerging research from top-tier conferences (NeurIPS, ICML) into production systems.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in machine learning engineering, with at least 2 years leading complex AI initiatives.
- Core Skills: Deep expertise in Python, PyTorch, TensorFlow, and modern data structures.
- System Design: Strong background in distributed systems, cloud architecture (AWS/Azure/GCP), and microservices.
- Future-Ready Tech: Experience with Rust, WebGPU, or Edge AI deployment is a significant plus.
- Problem Solving: Demonstrated ability to solve ambiguous, high-impact problems with innovative technical approaches.