Job Description
We are at the forefront of Project 2026, an ambitious initiative designed to pioneer the next generation of autonomous decision-making systems. Nexus Horizon is seeking a visionary Lead AI Architect to lead our engineering team in building the algorithms that will shape the future of enterprise intelligence.
In this pivotal role, you will not just write code; you will define the architectural standards for our neural networks and ensure our solutions are scalable, secure, and transformative.
Why Join Us?
- Work on the bleeding edge of AI development.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a hub in Austin.
Responsibilities
- Architectural Leadership: Design and implement the core infrastructure for Project 2026, ensuring high availability and low-latency performance.
- Model Development: Spearhead the research and deployment of advanced machine learning models, including Large Language Models (LLMs) and computer vision systems.
- Team Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Strategic Planning: Translate business requirements into technical roadmaps and architectural blueprints.
- Performance Optimization: Continuously monitor, optimize, and fine-tune AI models to ensure peak efficiency.
- Risk Management: Identify potential technical risks and implement mitigation strategies early in the development lifecycle.
Qualifications
- Education: Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Technical Stack: Proficiency in Python, TensorFlow, PyTorch, or JAX. Experience with distributed computing systems (Kubernetes, Apache Spark) is highly preferred.
- Domain Knowledge: Deep understanding of Natural Language Processing (NLP), Deep Learning, or Reinforcement Learning.
- Soft Skills: Exceptional communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Certifications: AWS Certified Solutions Architect or Google Cloud Professional Machine Learning Engineer is a plus.