Job Description
Are you ready to architect the digital future? Apex Horizon Systems is seeking a visionary Senior AI Architect to lead our cutting-edge research and development division. As we look toward the technological landscape of 2026 and beyond, we need a technical leader who can bridge the gap between theoretical AI breakthroughs and scalable, real-world applications.
In this pivotal role, you will define the roadmap for our next-generation Generative AI and Predictive Analytics platforms. You will work in a high-performance environment, collaborating with world-class engineers to build systems that are not only powerful but also ethical and efficient. If you are driven by the challenge of solving complex problems and shaping the AI paradigm, we want to hear from you.
Responsibilities
- Architect Next-Gen AI Solutions: Design and implement scalable machine learning architectures for Large Language Models (LLMs) and generative systems.
- Lead Technical Roadmap: Define the 2026 technology strategy, ensuring our infrastructure is ready for future advancements in AI and Quantum Computing integration.
- Optimize Performance: Drive improvements in model inference speeds and reduce latency for real-time consumer applications.
- Mentor & Inspire: Foster a culture of innovation by mentoring junior engineers and conducting technical workshops.
- Ethical AI Implementation: Ensure all models adhere to strict ethical guidelines and safety protocols.
- Cross-Functional Collaboration: Partner with product managers and data scientists to translate business requirements into technical solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a senior architectural role.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps tools (Kubeflow, MLflow).
- Cloud Mastery: Proven track record deploying large-scale systems on AWS, GCP, or Azure.
- Problem Solving: Exceptional ability to troubleshoot complex system bottlenecks and optimize deep learning pipelines.
- Communication: Ability to articulate complex technical concepts to non-technical stakeholders.