Job Description
Are you ready to architect the future? FutureScale Systems is seeking a visionary Senior AI Architect to define the technical landscape of 2026. We are building the next generation of autonomous intelligent systems, and we need a leader who can bridge the gap between cutting-edge research and scalable production engineering.
In this role, you will not just implement existing solutions; you will pioneer the architectures that will define the industry standard for the coming decade. You will work closely with C-suite executives and R&D leads to build robust, ethical, and powerful AI infrastructure.
Why join us?
- Impact: Directly influence the roadmap for 2026 and beyond.
- Innovation: Work with the latest in Generative AI, Quantum-ready algorithms, and Edge Computing.
- Equity: Competitive equity package reflecting your ownership in the future.
Responsibilities
- Architectural Design: Design and oversee the implementation of scalable AI infrastructure capable of supporting the demands of the 2026 digital landscape.
- Technology Strategy: Evaluate and integrate emerging technologies (e.g., LLMs, Federated Learning) to stay ahead of the curve.
- Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and excellence.
- Performance Optimization: Lead initiatives to optimize model inference speeds and reduce latency in real-time applications.
- Roadmap Planning: Create a clear technical roadmap for the 2026 transition, ensuring seamless migration from current systems.
- Collaboration: Partner with product and engineering teams to translate business goals into technical specifications.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 7+ years of experience in software engineering, with at least 3 years in a senior AI/ML architecture role.
- Core Tech: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
- Leadership: Proven track record of leading high-performance engineering teams through complex projects.
- Problem Solving: Ability to solve complex, unstructured problems with novel solutions.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.