Job Description
Are you ready to architect the future? OmniFuture Systems is seeking a visionary Senior AI Architect (2026 Strategy) to lead the next generation of intelligent spatial computing and neural interface technologies.
In this pivotal role, you won't just implement existing models; you will define the strategic roadmap for our 2026 technology stack. We are building the infrastructure for the next era of human-computer interaction, and we need a leader who can bridge the gap between theoretical AI breakthroughs and tangible, scalable products.
Why Join Us?
- Impact at Scale: Work on projects that will define the standards for spatial computing and autonomous systems in the coming decade.
- Future-Ready Environment: Our engineering culture prioritizes innovation, rapid prototyping, and ethical AI development.
- Competitive Compensation: We offer a top-tier salary package, comprehensive equity, and premium health benefits.
We are looking for a technical leader who thrives in ambiguity and possesses the foresight to anticipate industry trends. If you are passionate about the convergence of AI, spatial computing, and human experience, we want to hear from you.
Responsibilities
- Lead the 2026 AI Roadmap: Define and execute the strategic vision for AI integration, focusing on next-gen neural networks and edge computing.
- Architect Spatial Solutions: Design robust architectures for spatial computing applications, ensuring low-latency and high-accuracy user experiences.
- Model Development & Optimization: Spearhead the development, training, and optimization of large-scale machine learning models tailored for immersive environments.
- Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Cross-Functional Collaboration: Partner with product managers, designers, and hardware engineers to translate complex technical concepts into user-centric products.
- Ethical AI Governance: Ensure all AI systems adhere to strict ethical guidelines and safety protocols regarding bias, transparency, and privacy.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- Experience: 8+ years of experience in software engineering and at least 5 years in AI/ML architecture, with a focus on spatial or multi-modal interfaces.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems. Familiarity with spatial computing frameworks (e.g., ARKit, OpenXR) is a strong plus.
- Leadership: Proven track record of leading high-performance engineering teams and managing complex technical projects from conception to deployment.
- Problem Solving: Exceptional ability to troubleshoot complex system architectures and optimize for performance and scalability.
- Communication: Excellent verbal and written communication skills, with the ability to articulate technical strategies to non-technical stakeholders.