Job Description
Apex Future Tech is pioneering the next generation of artificial intelligence with our flagship initiative, Project 2026. We are seeking a visionary Senior AI Architect to lead the design and implementation of scalable, cutting-edge machine learning systems that will define the industry standard for the coming decade. If you are passionate about solving complex problems at the intersection of data science and infrastructure, we want to meet you.
Why Join Us?
- Work on groundbreaking AI infrastructure that impacts millions of users.
- Competitive compensation package including equity and bonuses.
- Flexible remote-first culture with a hub in the heart of San Francisco.
The Role:
In this pivotal role, you will be responsible for the end-to-end architecture of our AI models, ensuring they are robust, efficient, and ready for deployment at scale. You will collaborate with cross-functional teams of data scientists, engineers, and product managers to deliver innovative solutions that drive our Project 2026 roadmap forward.
Responsibilities
- Design and architect scalable machine learning pipelines and cloud infrastructure for Project 2026.
- Lead technical strategy for model deployment, monitoring, and MLOps best practices.
- Collaborate with data scientists to optimize model performance and reduce latency.
- Mentor junior engineers and conduct code reviews to ensure high engineering standards.
- Evaluate emerging AI technologies and frameworks to stay ahead of industry trends.
- Ensure system security, compliance, and data privacy across all AI workloads.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related field.
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, or similar frameworks.
- Strong proficiency in cloud platforms (AWS, GCP, or Azure).
- Proven experience designing distributed systems and microservices architectures.
- Excellent communication skills with the ability to translate technical concepts to non-technical stakeholders.