Job Description
Are you ready to architect the future?
Nexus Horizons Inc. is seeking a visionary Lead AI Architect to spearhead our 2026 Horizon Initiative. In this pivotal role, you will design and deploy next-generation artificial intelligence systems that redefine industry standards. We are not just building for today; we are engineering the foundational technologies for the year 2026 and beyond.
You will lead a high-performance team of machine learning engineers and data scientists, working at the intersection of quantum computing, generative AI, and sustainable technology. If you thrive in a cutting-edge environment and want to leave a lasting legacy in the tech world, this is your chance.
Why Join Us?
- Future-Proof Technology: Work on bleeding-edge AI models before they hit the mainstream.
- Equity Package: Significant ownership in the company as we scale.
- Flexible Work: Hybrid model supporting the San Francisco Bay Area.
Ready to shape the future? Apply now.
Responsibilities
- Design and oversee the architecture of scalable, high-performance AI and machine learning systems for the 2026 Horizon Initiative.
- Lead a multidisciplinary team of data scientists and engineers, providing technical mentorship and strategic direction.
- Collaborate with product management to define AI roadmaps and translate complex business requirements into technical solutions.
- Implement best practices for model deployment, MLOps, and continuous integration/continuous deployment (CI/CD).
- Ensure the ethical use of AI, focusing on bias mitigation, transparency, and fairness in algorithmic decision-making.
- Stay at the forefront of AI research, evaluating emerging technologies (e.g., LLMs, Neural Architecture Search) to maintain a competitive edge.
- Drive innovation in hardware-software integration for edge computing applications.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering and machine learning, with at least 4 years in a leadership or architectural role.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Spark).
- Proven track record of deploying production-grade AI models that handle high-scale data traffic.
- Strong understanding of deep learning architectures, natural language processing (NLP), and computer vision.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- Experience with cloud platforms (AWS, GCP, or Azure) and AI-specific services.