Job Description
Join QuantumLeap Technologies at the forefront of the 2026 AI revolution! We're seeking a visionary AI Solutions Architect to design and implement cutting-edge machine learning systems that will redefine industries. In this pivotal role, you'll architect scalable AI solutions for Fortune 500 clients, leveraging our proprietary quantum-enhanced computing infrastructure. Collaborate with Nobel laureates and lead projects that push the boundaries of artificial intelligence while shaping tomorrow's technological landscape.
Our Austin hub offers unparalleled innovation resources, including a $50M R&D lab and partnerships with MIT and Stanford. As we prepare for the 2026 AI paradigm shift, you'll have direct access to bleeding-edge research and the opportunity to patent breakthrough technologies. This isn't just a job—it's your chance to architect humanity's next technological leap.
Responsibilities
- Design and deploy production-grade AI solutions using transformer architectures and quantum neural networks
- Lead cross-functional teams of data scientists and engineers to deliver ML roadmaps for 2026 market readiness
- Architect ethical AI frameworks ensuring compliance with evolving 2026 global AI regulations
- Develop predictive models for climate change mitigation and sustainable resource optimization
- Create fault-tolerant AI systems capable of real-time adaptation to quantum computing environments
- Present strategic AI visions to C-suite executives and board members quarterly
- Mentor junior architects in emerging paradigms like neuromorphic computing and swarm intelligence
Qualifications
- PhD or equivalent experience in Computer Science/AI with published research in Nature/Science
- 8+ years implementing production ML systems at hyperscale (AWS/GCP/Azure)
- Expertise in quantum machine learning frameworks and quantum-resistant cryptography
- Proven track record of architecting systems processing >10TB real-time data streams
- Deep knowledge of 2026 AI regulatory landscape (EU AI Act, US AI Bill of Rights)
- Published work on ethical AI alignment or AGI safety protocols
- Experience with neuromorphic hardware (Intel Loihi, IBM TrueNorth) or photonic computing