Job Description
We are at the precipice of a new era. Synapse Future Labs is seeking a visionary AI Architect to spearhead the development of our 2026 Autonomous Infrastructure platform. In this pivotal role, you will design the neural backbone that powers self-evolving systems, ensuring our solutions remain ahead of the curve in a rapidly evolving technological landscape.
Join a team of elite engineers and researchers dedicated to pushing the boundaries of what is possible. If you are passionate about building scalable, intelligent systems that will define the future, we want to hear from you.
Responsibilities
- Design and implement scalable deep learning architectures tailored for high-frequency autonomous decision-making.
- Lead the technical strategy for integrating edge computing with cloud-based AI models for 2026 readiness.
- Collaborate with cross-functional teams to translate complex business requirements into robust technical solutions.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Optimize model performance, latency, and resource efficiency for production environments.
- Stay abreast of the latest advancements in AI, ML, and robotics to drive technological innovation.
- Define best practices for AI security, ethics, and compliance within the infrastructure.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 8 years of experience in software engineering, with a strong focus on machine learning and AI systems.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
- Proven track record of deploying large-scale AI models in production environments.
- Strong understanding of system architecture, microservices, and cloud infrastructure (AWS/Azure/GCP).
- Excellent problem-solving skills and the ability to work in a fast-paced, dynamic startup environment.
- Experience with ethical AI frameworks and bias mitigation in large datasets.