Job Description
We are seeking a visionary AI Architect: 2026 Readiness Program to lead our infrastructure transformation. As we prepare for the next decade of technological evolution, you will define the architectural blueprints for systems that will define the year 2026 and beyond. This is not just about maintaining current systems; it is about building the foundational layers for next-generation agentic AI and spatial computing.
In this high-impact role, you will bridge the gap between theoretical AI capabilities and scalable, enterprise-grade engineering. You will work closely with product leaders to ensure our technology stack is future-proof, resilient, and ready for the quantum leap in processing power expected by 2026.
Responsibilities
- Design and implement scalable, fault-tolerant AI infrastructure capable of handling exascale processing by 2026.
- Lead the architectural transition towards autonomous agent workflows and multimodal AI integration.
- Define technical roadmaps for system upgrades that align with 2026 regulatory and performance standards.
- Collaborate with data scientists and ML engineers to optimize model inference and latency.
- Establish security protocols and ethical AI governance frameworks for future generations of technology.
- Mentor senior engineering teams to foster a culture of innovation and future-thinking.
- Conduct proof-of-concepts for emerging technologies (e.g., Neural Rendering, Edge AI) relevant to the 2026 landscape.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML systems design.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, Docker).
- Proven track record of leading large-scale system migrations and architectural overhauls.
- Strong understanding of Generative AI models, LLMs, and their integration into production environments.
- Experience with spatial computing frameworks and AR/VR development ecosystems.
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.