Job Description
Join the Architects of the Future.
We are Apex Horizon Systems, a premier technology firm pioneering the infrastructure for the next generation of intelligent automation. As we approach our 2026 strategic roadmap, we are seeking a visionary Lead AI Architect to define the core technology stack that will drive enterprise transformation for the next decade.
In this role, you will not just write code; you will design the neural pathways of tomorrow. You will lead a high-performance team of researchers and engineers to build scalable, secure, and ethically-aligned AI models. If you are passionate about pushing the boundaries of what is possible and want to leave a legacy in the tech landscape, we want to hear from you.
Why join us?
- Work on cutting-edge Generative AI and Autonomous Systems.
- Competitive compensation package and equity options.
- Flexible remote-first culture with premium San Francisco benefits.
- Opportunity to shape the 2026 technology landscape.
Ready to build the future? Apply now.
Responsibilities
- Strategic Architecting: Design and implement the high-level technical architecture for large-scale AI systems, ensuring scalability and performance for our 2026 product lines.
- Model Development: Lead the research and fine-tuning of foundational models, specifically focusing on Large Language Models (LLMs) and multimodal systems.
- Team Leadership: Mentor senior engineers and data scientists, fostering a culture of innovation, continuous learning, and technical excellence.
- Infrastructure Optimization: Oversee the deployment of AI models on cloud-native platforms, optimizing for latency, cost-efficiency, and security compliance (SOC2/GDPR).
- R&D Leadership: Identify emerging trends in Artificial General Intelligence (AGI) and evaluate their potential integration into our core business solutions.
- Stakeholder Communication: Translate complex technical concepts into actionable insights for executive leadership and product management teams.
Qualifications
- Education: Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 7+ years of experience in software engineering, with at least 3 years in a lead or architect role within the AI/ML domain.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Kubernetes, Apache Spark).
- Domain Knowledge: Deep understanding of Natural Language Processing (NLP), Deep Learning architectures, and Reinforcement Learning.
- Soft Skills: Exceptional problem-solving abilities and the ability to thrive in a fast-paced, ambiguous startup environment.
- Certifications: AWS Certified Machine Learning – Specialty or equivalent is a plus.