Job Description
Join Nexus Horizon at the forefront of technological evolution as we architect solutions for 2026 and beyond. We're seeking visionary Future Systems Architects to design next-generation infrastructure that will power the digital transformation of tomorrow. In this pivotal role, you'll leverage cutting-edge AI, quantum computing principles, and sustainable tech to build resilient, scalable systems that define the next decade of innovation. Our Austin-based team operates in a collaborative environment where your expertise will directly shape how businesses adapt to rapid technological shifts.
Responsibilities
- Design and implement scalable system architectures using AI-driven optimization and quantum-resistant algorithms
- Lead cross-functional teams to integrate emerging technologies (Web4, AR/VR, neuromorphic computing) into enterprise frameworks
- Develop strategic roadmaps for technological adoption aligned with 2026 market projections
- Conduct vulnerability assessments and implement zero-trust security paradigms for future systems
- Collaborate with R&D to prototype next-gen computing solutions using synthetic biology and nanotech interfaces
- Drive sustainability initiatives through carbon-negative infrastructure design and circular tech principles
- Mentor junior architects on future-proof development methodologies and ethical tech deployment
Qualifications
- 10+ years in enterprise architecture with proven experience in cloud-native and distributed systems
- Expertise in quantum computing fundamentals, AI/ML integration, and future tech forecasting
- Certification in AWS/GCP/Azure with deep specialization in next-gen services (e.g., Braket, Quantum Computing)
- Strong background in ethical AI frameworks and responsible innovation practices
- Experience leading technical transformation projects with $10M+ budgets
- Published research or patents in emerging technologies (blockchain, neuromorphic, synthetic biology)
- Ability to translate complex technical concepts into strategic business narratives
- MSc/PhD in Computer Science, Systems Engineering, or related field preferred