Job Description
Join Apex Horizon Solutions, a pioneering force in next-generation artificial intelligence, as we architect the systems of tomorrow. We are looking for a visionary Senior AI Architect to lead our Project 2026, a groundbreaking initiative designed to redefine scalability and intelligence in cloud infrastructure. You will be at the forefront of integrating cutting-edge machine learning models with robust, future-proof backend systems.
In this role, you will not just write code; you will define the architectural standards for the next decade. We value creativity, technical depth, and the ability to communicate complex ideas to diverse stakeholders. If you are passionate about building systems that can handle the demands of a rapidly evolving digital landscape, we want to hear from you.
Why join us?
• Work with state-of-the-art AI technologies.
• Competitive compensation and equity package.
• Flexible remote-first culture with premium office amenities in the heart of San Francisco.
Responsibilities
- Design and implement scalable, high-performance AI architectures for the Project 2026 initiative.
- Lead the technical strategy for integrating machine learning models into production environments using Python and TensorFlow.
- Mentor and guide a team of junior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Collaborate with cross-functional teams, including product managers and security experts, to ensure system integrity and compliance.
- Conduct code reviews and architectural walkthroughs to maintain high code quality and best practices.
- Optimize existing systems for speed, scalability, and reliability while reducing technical debt.
- Stay ahead of industry trends to recommend new technologies that give Apex Horizon a competitive edge.
Qualifications
- Minimum of 7 years of experience in software engineering, with at least 3 years in AI/ML architecture.
- Deep expertise in Python, with strong proficiency in C++ or Java.
- Extensive experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Proven track record of deploying large-scale machine learning models in production.
- Strong understanding of distributed systems, microservices, and event-driven architecture.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.
- Master’s degree in Computer Science, Artificial Intelligence, or a related technical field is preferred.