Job Description
We are on the precipice of a new era in technological evolution. OmniFuture Industries is seeking a visionary Strategic Future Technology Architect to spearhead the development of systems and infrastructure designed to dominate the year 2026 and beyond.
In this pivotal role, you will bridge the gap between theoretical innovation and practical application. You will lead the architectural design of next-generation platforms integrating Artificial Intelligence, Quantum Computing, and Immersive Reality. We are not just looking for a coder; we are looking for a thought leader who can envision the digital landscape of the future and build the foundations today.
Why join us?
- Work on ground-breaking projects that define the next decade of tech.
- Competitive compensation and equity package.
- Flexible remote-first culture with premium Austin amenities.
If you are ready to architect the future, we want to hear from you.
Responsibilities
- Define and execute the long-term technology roadmap for the 2026 product suite, focusing on AI-driven automation and decentralized systems.
- Lead the architectural design of scalable, high-performance cloud infrastructure capable of handling quantum-class workloads.
- Collaborate with cross-functional teams including product managers, engineers, and UX designers to translate futuristic concepts into deployable code.
- Research and evaluate emerging technologies (e.g., Neural Interfaces, Edge Computing) to identify strategic opportunities for competitive advantage.
- Oversee the integration of Generative AI models into core business workflows to optimize efficiency.
- Mentor senior engineering teams and establish best practices for code quality and system security.
Qualifications
- 10+ years of experience in software architecture, with at least 5 years in a lead or architect role.
- Deep expertise in Python, C++, and Rust, with demonstrated success in deploying large-scale machine learning systems.
- Strong understanding of cloud-native architectures (AWS, Azure, or GCP) and containerization technologies (Kubernetes, Docker).
- Experience with AI/ML frameworks (TensorFlow, PyTorch) and a proven track record of integrating LLMs into production environments.
- Excellent verbal and written communication skills, with the ability to articulate complex technical strategies to non-technical stakeholders.
- Master’s degree in Computer Science, Physics, or a related field is a plus.