Job Description
Join the Architects of Tomorrow. Apex Horizon Systems is pioneering the technological landscape for the year 2026. We are looking for a visionary Senior AI Architect to design, build, and scale intelligent systems that will define the next era of enterprise efficiency.
In this pivotal role, you will bridge the gap between theoretical machine learning and production-grade infrastructure. You will be responsible for designing robust, scalable AI pipelines and ensuring our systems are future-proof for the rapid advancements of the coming years.
Why Join Us?
- Impactful Work: Directly influence the roadmap for 2026 technologies.
- Competitive Compensation: Salary range of $180k - $250k + equity package.
- Flexible Environment: Hybrid work model based in the heart of San Francisco.
Ready to shape the future? Apply today.
Responsibilities
- Architect Next-Gen AI Infrastructure: Design and implement scalable distributed systems for Large Language Models (LLMs) and predictive analytics platforms.
- System Optimization: Drive performance improvements, reduce latency, and optimize compute costs for high-volume data processing.
- Technology Roadmapping: Evaluate emerging technologies (e.g., Quantum-ready architectures, Edge AI) to prepare our stack for 2026 and beyond.
- Cross-Functional Leadership: Collaborate with product managers and engineers to translate complex AI requirements into technical blueprints.
- Code Review & Mentorship: Establish best practices for AI engineering, conduct rigorous code reviews, and mentor junior developers.
- Security & Compliance: Implement rigorous security protocols ensuring data privacy and regulatory compliance.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field; or equivalent practical experience.
- Experience: 8+ years of software engineering experience with at least 3 years in AI/ML architecture.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and modern cloud platforms (AWS/GCP/Azure).
- System Design: Deep understanding of distributed systems, microservices, and high-availability architectures.
- Problem Solving: Proven ability to solve complex, ambiguous technical problems and lead them to resolution.
- Communication: Excellent verbal and written communication skills for technical stakeholder management.