Job Description
Are you ready to define the technological landscape of 2026? Apex Horizon Systems is seeking a visionary Senior AI Architect to lead our cutting-edge research and development initiatives. We are not just building for today; we are engineering the foundational technologies that will power the next generation of intelligent systems.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable enterprise implementation. You will be responsible for architecting robust, ethical, and high-performance AI systems that solve complex real-world problems. If you have a passion for the future and possess the technical prowess to make it a reality, we want to meet you.
Why Join Us?
- Work on projects that directly shape the future of technology.
- Competitive compensation package with equity options.
- Flexible remote-first policy with a hub in the heart of San Francisco.
- Access to the latest hardware and AI tooling.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable machine learning architectures capable of handling petabyte-scale data streams and complex decision-making tasks.
- Strategic Roadmapping: Lead the technical vision for the 2026 product roadmap, identifying emerging AI trends and integrating them into our core infrastructure.
- Model Optimization: Fine-tune large language models (LLMs) and transformer architectures to achieve superior performance, accuracy, and reduced latency.
- Leadership & Mentorship: Guide a team of brilliant engineers and data scientists, fostering a culture of innovation, technical excellence, and continuous learning.
- Cross-Functional Collaboration: Partner with product managers, designers, and stakeholders to translate complex technical requirements into user-centric solutions.
- Ethical AI Governance: Ensure all AI systems adhere to strict ethical guidelines, data privacy standards, and bias mitigation protocols.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: Minimum of 8 years of professional experience in software engineering, with a focus on AI/ML architecture.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Proven experience deploying models to production environments (AWS, GCP, or Azure).
- System Design: Strong understanding of distributed systems, microservices, and high-availability architecture.
- Innovation: Demonstrated track record of delivering innovative solutions in fast-paced environments.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.