Job Description
The Future is Here. At Horizon 2026 Solutions, we are not just predicting the future; we are architecting it. We are seeking a visionary Future-Ready AI Architect to join our elite team in San Francisco. This is a pivotal role focused on designing scalable, next-generation artificial intelligence systems that will define the technological landscape of 2026 and beyond.
In this role, you will bridge the gap between theoretical AI research and practical, high-impact engineering. You will lead the architectural vision for our flagship projects, ensuring our solutions are robust, ethical, and ready for the exponential growth of the upcoming years.
Why Join Us?
- Work on cutting-edge projects that will define the industry.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a hub in San Francisco.
- Access to the latest hardware and cloud infrastructure.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable machine learning infrastructure and neural network architectures tailored for 2026 workloads.
- Strategic Roadmap Leadership: Define the technical roadmap for AI integration, aligning with the company's 2026 vision and long-term goals.
- Model Optimization: Oversee the training, fine-tuning, and optimization of Large Language Models (LLMs) and generative AI agents.
- Technical Mentorship: Lead a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Cloud Infrastructure: Manage and deploy models on scalable cloud environments (AWS/Azure/GCP) ensuring high availability and security.
- Ethical AI Governance: Ensure all AI systems adhere to strict ethical guidelines and compliance standards.
Qualifications
- Experience: 7+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
- Technical Mastery: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing systems.
- System Design: Proven ability to design complex, fault-tolerant systems capable of handling petabyte-scale data.
- Leadership: Strong track record of leading cross-functional teams and managing technical stakeholders.
- Certifications: AWS Certified Solutions Architect or Google Cloud Professional Machine Learning Engineer preferred.
- Problem Solving: Exceptional analytical skills with a focus on solving unstructured, high-impact problems.