Job Description
Join the Vanguard of Tomorrow.
We are building the foundation for the next generation of intelligent systems. As a Senior AI Architect for Project 2026, you will define the architectural blueprint for our autonomous logistics and predictive analytics platforms. You will lead a team of elite engineers in creating scalable, secure, and efficient AI models that redefine industry standards.
If you are passionate about pushing the boundaries of Generative AI, Quantum Computing integration, and Edge Intelligence, we want to hear from you.
Responsibilities
- Architectural Leadership: Design and implement the core infrastructure for Project 2026, ensuring high availability, scalability, and fault tolerance for AI workloads.
- Model Strategy: Lead the selection and optimization of Machine Learning frameworks (TensorFlow, PyTorch) and orchestrate MLOps pipelines for continuous deployment.
- Technical Mentorship: Guide a cross-functional team of data scientists, ML engineers, and software developers, fostering a culture of innovation and technical excellence.
- R&D Innovation: Explore cutting-edge technologies including Large Language Models (LLMs) and neural architecture search to drive product differentiation.
- System Integration: Bridge the gap between theoretical AI models and production-grade software, ensuring seamless integration with legacy systems.
- Performance Optimization: Continuously monitor system performance, reduce latency, and optimize inference costs for real-time applications.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Technical Stack: Deep proficiency in Python, C++, and distributed systems. Experience with cloud platforms (AWS, GCP, Azure) is essential.
- AI Expertise: Proven track record of designing and deploying complex deep learning models in production environments.
- Leadership: Demonstrated ability to lead engineering teams, manage technical roadmaps, and drive strategic initiatives.
- Problem Solving: Exceptional analytical skills with a strong focus on solving complex, ambiguous problems.