Job Description
Are you ready to engineer the future? Apex Future Systems is launching Project 2026, a groundbreaking initiative designed to pioneer the next era of autonomous intelligence and quantum-enhanced computing. We are seeking a visionary Lead AI Architect to lead our technical strategy and build scalable neural architectures that will define the technology landscape of tomorrow.
In this role, you won't just maintain existing systems; you will architect the foundation for the year 2026 and beyond. You will collaborate with elite researchers and product engineers to deploy state-of-the-art machine learning models that solve complex, real-world problems.
Why join Project 2026?
- Work on cutting-edge AI that pushes the boundaries of what is possible.
- Competitive compensation and equity packages.
- Flexible remote-first culture with quarterly in-person innovation summits.
- Access to top-tier computing resources and proprietary datasets.
Responsibilities
- Design and implement high-performance, scalable AI/ML architectures tailored for the Project 2026 roadmap.
- Lead a cross-functional team of data scientists, ML engineers, and researchers to drive model development and deployment.
- Optimize deep learning pipelines for inference speed and energy efficiency in edge devices.
- Stay at the forefront of emerging technologies (e.g., Transformers, LLMs, Quantum ML) and integrate relevant advancements into our core stack.
- Establish best practices for MLOps, data governance, and model monitoring to ensure reliability at scale.
- Communicate complex technical concepts to non-technical stakeholders and drive strategic decision-making.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 7+ years of experience in Machine Learning, AI Engineering, or Software Development.
- Deep expertise in Python, PyTorch, or TensorFlow, with a strong command of distributed computing frameworks (e.g., Apache Spark, Ray).
- Proven track record of deploying production-grade AI models in large-scale environments.
- Experience with Large Language Models (LLMs) and Generative AI architectures is highly preferred.
- Strong leadership skills with a history of mentoring engineering teams.
- Excellent problem-solving skills and ability to thrive in a fast-paced, ambiguous startup environment.