Job Description
Join Nexus Innovations as we redefine the future of artificial intelligence. We're seeking a visionary AI Solutions Architect to design cutting-edge systems that will shape the technological landscape of 2026. This pivotal role combines deep technical expertise with strategic foresight to build scalable AI frameworks for Fortune 500 clients. You'll lead cross-functional teams in developing next-gen machine learning models, neural networks, and autonomous systems that solve complex global challenges. Our Austin hub offers unparalleled resources, including a $50M R&D lab and partnerships with MIT and Stanford. We provide comprehensive benefits, equity packages, and flexible work arrangements to support your professional growth and personal well-being.
Responsibilities
- Architect end-to-end AI solutions integrating NLP, computer vision, and predictive analytics
- Lead technical roadmaps for 2026 AI initiatives across healthcare, finance, and logistics sectors
- Collaborate with CTOs to align AI strategies with business objectives and regulatory frameworks
- Mentor junior engineers and conduct code reviews for enterprise-grade AI deployments
- Research and implement emerging AI frameworks including transformer architectures and quantum computing hybrids
- Develop performance benchmarks and optimization protocols for large-scale ML models
- Present technical blueprints to executive stakeholders and investor boards
Qualifications
- 10+ years in AI/ML architecture with 5+ years in enterprise solution design
- Expertise in TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure)
- Published research in top-tier AI conferences (NeurIPS, ICML) or equivalent industry impact
- PhD or Master's in Computer Science, Machine Learning, or related field
- Proven track record of deploying production AI systems handling >1M transactions daily
- Strong background in ethical AI frameworks and bias mitigation techniques
- Experience with MLOps pipelines and CI/CD for AI workflows
- Exceptional communication skills translating complex concepts to diverse audiences