Job Description
We are Apex 2026 Solutions, a visionary technology firm pioneering the infrastructure for the next generation of artificial intelligence. As we approach the pivotal year of 2026, we are seeking a visionary Lead AI Architect to design scalable, robust, and ethically sound neural networks that will power the future of enterprise automation.
In this role, you won't just maintain legacy systems; you will architect the core frameworks that define our industry leadership. You will work in a high-performance environment that values innovation, speed, and technical excellence.
Why Join Us?
- Work on cutting-edge AI models with a direct impact on the 2026 roadmap.
- Competitive compensation package and equity options.
- Flexible remote-first culture with premium office amenities in the heart of SF.
Responsibilities
- Design and deploy end-to-end machine learning pipelines and scalable AI architectures for high-volume data processing.
- Lead a team of senior engineers and data scientists to translate complex business requirements into technical blueprints.
- Optimize existing neural network models for improved latency, accuracy, and energy efficiency.
- Collaborate with product managers to define the technical vision and long-term AI strategy.
- Establish best practices for code quality, CI/CD pipelines, and model governance.
- Stay at the forefront of AI research to integrate state-of-the-art techniques into our production stack.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
- Proven track record of deploying production-grade AI systems that handle millions of requests.
- Strong understanding of distributed systems, microservices, and containerization (Docker, Kubernetes).
- Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.