Job Description
Join NexusTech Innovations at the forefront of technological evolution as we pioneer AI solutions for 2026 and beyond. We're seeking a visionary AI Solutions Architect to design and implement transformative machine learning frameworks that will define the next decade of innovation. In this pivotal role, you'll architect scalable AI systems, drive strategic technology roadmaps, and collaborate with cross-functional teams to deliver cutting-edge solutions that solve humanity's most complex challenges.
Our Austin-based hub offers a dynamic environment where your expertise will directly shape the future of autonomous systems, quantum AI integration, and ethical machine learning practices. If you're passionate about pushing the boundaries of what's possible and want to build the technologies that will power 2026, this is your moment.
Responsibilities
- Design and implement next-generation AI/ML architectures for large-scale enterprise solutions
- Develop strategic technology roadmaps aligning with 2026 innovation horizons
- Lead cross-functional teams in deploying AI systems across cloud and hybrid environments
- Research and integrate emerging technologies (quantum computing, neuromorphic chips)
- Ensure ethical AI compliance and governance frameworks for future deployments
- Drive innovation through rapid prototyping and experimental AI model development
- Collaborate with product teams to translate business requirements into technical solutions
Qualifications
- 10+ years experience in AI/ML architecture with 5+ years in enterprise-scale deployments
- Expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks
- Proven track record designing solutions for autonomous systems or quantum AI applications
- PhD or Master's in Computer Science, AI, or related field preferred
- Strong background in MLOps, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure)
- Published research in future technology trends or conference speaker experience
- Certification in AI ethics (e.g., Google AI Ethics Certificate) required
- Experience with federated learning and edge computing architectures