Job Description
We are on the precipice of a new technological era. As we look toward 2026, we are seeking a visionary Future Tech Architect to lead our infrastructure and AI roadmap. This is not just a job; it is a mission to build the digital backbone for the next generation of business operations.
In this pivotal role, you will bridge the gap between today's scalability and tomorrow's innovation. You will be responsible for designing robust systems that are resilient, intelligent, and future-proof. If you are passionate about the intersection of Generative AI, Cloud Native architecture, and strategic foresight, we want to hear from you.
Why Join Us?
- Work on high-impact projects that define the 2026 technology landscape.
- Competitive compensation and equity package.
- Flexible work environment in the heart of Austin.
- Access to cutting-edge tools and research.
Apply today to shape the future of technology.
Responsibilities
- Lead the architectural design and implementation of systems specifically optimized for the 2026 technology horizon, focusing on AI integration and predictive scaling.
- Define and execute the technology roadmap for the next 2 years, ensuring alignment with business goals and emerging tech trends.
- Oversee the migration of legacy systems to modern, cloud-native architectures, ensuring zero downtime and data integrity.
- Collaborate with cross-functional teams to integrate Generative AI models into core business workflows.
- Mentor junior engineers and senior architects, fostering a culture of innovation and continuous learning.
- Conduct rigorous security audits and risk assessments to ensure compliance and data protection.
- Act as the primary technical point of contact for stakeholders regarding long-term technical strategy.
Qualifications
- 10+ years of experience in software architecture, system design, or engineering leadership roles.
- Deep expertise in cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
- Strong background in Machine Learning and AI infrastructure deployment.
- Proven track record of leading large-scale technical transformations and managing distributed teams.
- Familiarity with the latest trends in Spatial Computing and Quantum Readiness is a major plus.
- Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
- Exceptional communication skills, with the ability to translate complex technical concepts for non-technical stakeholders.