Job Description
We are looking for a visionary Senior AI Architect to lead our engineering team in defining the technological roadmap for 2026 and beyond. At Apex Horizon Systems, we are building the infrastructure for the next generation of intelligent applications. You will be at the forefront of integrating advanced machine learning models with scalable cloud architectures.
In this role, you will not just write code; you will define the future of our product ecosystem. You will work closely with C-level executives and product strategists to ensure our technology stack is future-proof, scalable, and ethically aligned with global standards.
Why join us?
- Competitive compensation and equity package.
- Work on cutting-edge AI solutions.
- Flexible work environment in the heart of SF.
Responsibilities
- Lead the architectural design and implementation of AI systems targeted for the 2026 release cycle, ensuring high performance and scalability.
- Collaborate with cross-functional teams to translate business requirements into technical roadmaps and actionable development tasks.
- Mentor and coach junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Evaluate and integrate emerging technologies, specifically focusing on generative AI and edge computing advancements.
- Oversee code reviews, system testing, and deployment processes to maintain the highest standards of software quality.
- Define best practices for data security, privacy, and ethical AI usage across the organization.
Qualifications
- Master’s degree in Computer Science, Mathematics, or a related technical field (Ph.D. preferred).
- Minimum of 7-10 years of experience in software engineering, with at least 4 years specifically in Artificial Intelligence and Machine Learning architecture.
- Deep proficiency in programming languages such as Python, TensorFlow, PyTorch, and C++.
- Extensive experience with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).
- Strong understanding of distributed systems, microservices architecture, and database technologies (SQL and NoSQL).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.