Job Description
The Future of Innovation Awaits.
Nexus Horizon is pioneering the next generation of digital intelligence. We are seeking a visionary Senior AI Architect & 2026 Visionary Lead to define the technological roadmap and architectural framework that will shape our products for the years to come. If you are an expert in Generative AI, Machine Learning, and Large Language Models with a passion for building scalable, ethical, and transformative systems, we want to meet you.
In this role, you will not just manage technology; you will shape the future landscape of AI integration in enterprise solutions. You will work at the intersection of engineering, strategy, and product design, collaborating with cross-functional teams to turn bold visions into reality.
Why Join Us?
• Competitive compensation and equity package.
• Access to cutting-edge hardware and cloud resources.
• Work on projects that define the industry standard for 2026 and beyond.
• Flexible remote-first culture with premium office amenities in San Francisco.
Responsibilities
- Define the 2026 Roadmap: Lead the strategic technical planning for AI initiatives, ensuring alignment with long-term business goals and emerging technology trends.
- Architect Scalable Systems: Design and oversee the implementation of robust, scalable, and secure AI infrastructure and machine learning pipelines.
- Lead & Mentor: Cultivate a high-performance engineering culture, mentoring senior engineers and architects while fostering innovation.
- Model Optimization: Drive the optimization of LLMs and neural networks for efficiency, reducing latency and cost while maximizing accuracy.
- Cross-Functional Collaboration: Partner with product managers, designers, and data scientists to translate complex requirements into elegant technical solutions.
- Ethical AI Governance: Establish guidelines and best practices for responsible AI usage, ensuring fairness, transparency, and data privacy.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
- Experience: 8+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture and system design.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, or similar frameworks; experience with vector databases and RAG architectures.
- Cloud Mastery: Proven track record of deploying AI workloads on major cloud platforms (AWS, GCP, or Azure).
- Leadership: Demonstrated ability to lead large, cross-functional teams through complex technical challenges.
- Innovation: A forward-thinking mindset with a portfolio of projects demonstrating experience in emerging technologies.