Job Description
We are seeking a visionary Chief AI Architect to spearhead our engineering division into the future. As we prepare for the technological landscape of Year 2026, we need a leader who doesn't just adapt to change but defines it. You will be responsible for architecting scalable, next-generation AI infrastructure that positions us as an industry leader.
In this pivotal role, you will bridge the gap between cutting-edge research and practical application, ensuring our systems are resilient, intelligent, and future-proof.
Responsibilities
- Strategic Roadmapping: Define and execute the technical roadmap for AI infrastructure, ensuring readiness for the 2026 technological landscape.
- Team Leadership: Lead a team of senior engineers and data scientists in developing proprietary machine learning models.
- System Architecture: Design robust, scalable, and secure cloud-native architectures using AWS and Kubernetes.
- Innovation Integration: Identify and integrate emerging AI technologies (e.g., generative AI, edge computing) into core product stacks.
- Performance Optimization: Oversee the optimization of deep learning models for real-time inference and large-scale data processing.
- Stakeholder Collaboration: Translate complex technical concepts into strategic insights for executive leadership and product teams.
Qualifications
- Experience: 10+ years in software engineering, with 5+ years specifically in AI/ML architecture and leadership.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and RESTful API design.
- Cloud Mastery: Strong proficiency in AWS (SageMaker, Lambda, RDS) or GCP AI services.
- Leadership: Proven track record of managing high-performance engineering teams and driving culture of innovation.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
- Vision: Demonstrated ability to anticipate future trends and prepare technical roadmaps accordingly.