Job Description
We are building the foundation for the year 2026. Apex Future Systems is seeking a visionary Lead AI Architect to spearhead our next-generation infrastructure project. In this role, you will define the architectural standards for our upcoming suite of autonomous agents and generative AI tools.
If you are passionate about the intersection of ethics, scalability, and next-gen technology, this is the opportunity to define the future of work.
What You Will Do
- Architect Future-Proof Solutions: Design robust machine learning pipelines and neural network architectures capable of scaling to enterprise levels.
- Lead the 2026 Roadmap: Translate strategic business goals into technical roadmaps, anticipating trends in AGI and synthetic data.
- Optimize Performance: Push the boundaries of model inference speed and accuracy using cutting-edge hardware acceleration.
- Mentorship: Cultivate a high-performance engineering culture, mentoring junior data scientists and ML engineers.
Qualifications
- Experience: 7+ years of experience in Artificial Intelligence, Machine Learning, or Deep Learning engineering.
- Education: Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and MLOps platforms (Kubeflow, MLflow).
- Leadership: Proven track record of leading technical teams through complex, multi-year projects.
Benefits: Comprehensive health coverage, equity package, unlimited PTO, and continuous learning stipend.
Responsibilities
- Architect scalable, fault-tolerant AI systems for the 2026 product line.
- Research and implement novel algorithms to improve model efficiency by 40%.
- Collaborate with product managers to define technical requirements for AI-driven features.
- Oversee the deployment of models into production environments using CI/CD pipelines.
- Conduct code reviews and architectural reviews to ensure quality standards.
Qualifications
- PhD or Master’s in Computer Science, AI, or Statistics.
- Extensive experience with Large Language Models (LLMs) and Transformer architectures.
- Strong understanding of distributed systems and cloud computing (AWS/GCP/Azure).
- Excellent communication skills for technical stakeholder management.