Job Description
Join NeuroSynth Labs at the forefront of 2026's technological revolution. We're seeking an AI Solutions Architect to design and implement next-generation neural networks that will redefine human-machine collaboration. This role offers unparalleled opportunities to shape AI ethics, quantum machine learning, and autonomous systems for Fortune 500 clients.
Why This Role Matters: You'll architect AI frameworks that solve previously unsolvable problems, working with our Nobel Prize-winning research team in Austin's innovation corridor. Your solutions will directly impact healthcare diagnostics, climate modeling, and space exploration initiatives.
What We Offer: Equity in pre-IPO unicorn, unlimited PTO, $15k annual learning stipend, and access to our state-of-the-art quantum computing lab. Our culture celebrates moonshots – we reward bold thinking and rapid prototyping.
Responsibilities
- Design scalable neural architectures for enterprise-level AI deployments in 2026 tech stack
- Lead quantum machine learning experiments using 1000+ qubit systems
- Develop ethical AI governance frameworks compliant with emerging global regulations
- Architect multimodal AI systems integrating vision, language, and sensor fusion
- Partner with CTO to build 5-year technology roadmap for autonomous systems
- Mentor cross-functional teams in implementing cutting-edge AI solutions
- Present breakthrough innovations at global AI summits and industry conferences
Qualifications
- PhD in Computer Science/AI or equivalent 8+ years in neural architecture design
- Proven expertise in quantum machine learning and quantum error correction
- Published research in top-tier AI conferences (NeurIPS, ICML) on ethical AI
- Experience deploying multimodal models at >99.9% reliability scale
- Deep understanding of 2026 AI stack (Transformer-XL, Neuromorphic chips)
- Strong background in AI safety and alignment techniques
- Track record of leading $10M+ AI transformation projects