Job Description
Join NexusAI Solutions at the forefront of innovation as we pioneer the next wave of transformative AI technologies. We're seeking a visionary Lead AI Engineer to architect and deploy cutting-edge systems that will redefine industries by 2026. In this role, you'll lead a multidisciplinary team to develop scalable machine learning solutions while pushing the boundaries of artificial intelligence research.
Our San Francisco hub offers an unparalleled environment where your expertise will directly shape the future of autonomous systems, predictive analytics, and human-AI collaboration. We provide competitive compensation, comprehensive benefits, and the opportunity to work alongside Nobel-caliber researchers in a culture that values bold thinking and rapid prototyping.
Responsibilities
- Design and implement next-gen AI frameworks for autonomous decision-making systems
- Lead cross-functional teams in deploying production-grade ML models at enterprise scale
- Architect ethical AI solutions aligned with 2026 regulatory and sustainability standards
- Drive innovation through applied research in generative AI and neural networks
- Mentor engineers and establish best practices for AI development lifecycle
- Collaborate with product teams to integrate AI capabilities into customer-facing solutions
- Optimize systems for real-time processing and edge deployment scenarios
Qualifications
- PhD or MS in Computer Science/AI with 8+ years of progressive experience
- Expertise in PyTorch/TensorFlow and distributed ML infrastructure
- Proven track record deploying production AI systems with 99.9% uptime
- Deep understanding of transformer architectures and generative models
- Leadership experience managing technical teams of 10+ engineers
- Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
- Strong background in MLOps, CI/CD pipelines, and cloud architecture (AWS/GCP)