Job Description
Are you ready to define the future of Artificial Intelligence?
Nexus Horizon Labs is at the forefront of the 2026 technology revolution. We are seeking a visionary Lead AI Architect to spearhead our next-generation infrastructure, ensuring our systems are not just functional today, but dominant in the year 2026 and beyond.
As the industry shifts towards autonomous agents and quantum-ready algorithms, you will be the mastermind behind our architectural decisions. We offer a competitive salary, equity packages, and the chance to work on projects that will define the decade.
Why Join Us?
• Work on cutting-edge AI models designed for the 2026 landscape.
• Competitive compensation and equity package.
• Flexible remote-first culture with HQ in SF.
• Top-tier talent and resources at your disposal.
Responsibilities
- Architect the 2026 Roadmap: Design scalable, robust, and future-proof AI systems capable of handling next-generation data loads and neural network complexities.
- Model Optimization: Lead the research and implementation of Large Language Models (LLMs) and Transformer architectures optimized for edge computing and quantum integration.
- Technical Strategy: Collaborate with C-suite executives to define the technical vision for Nexus Horizon, ensuring alignment with long-term business goals.
- Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Performance Monitoring: Establish key performance indicators (KPIs) and rigorously monitor system latency, accuracy, and throughput to maintain industry-leading standards.
- Risk Management: Identify potential architectural bottlenecks and implement preemptive solutions to ensure system stability and security.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 4 years in a lead architect or senior AI engineering role.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems. Experience with Kubernetes and cloud-native architecture (AWS/GCP).
- AI Specialization: Proven track record of deploying production-grade AI/ML models. Familiarity with Generative AI and Reinforcement Learning.
- Problem Solving: Exceptional ability to solve complex technical problems with elegant, scalable solutions.
- Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts to non-technical stakeholders.