Job Description
We are seeking a visionary Senior AI Architect to lead the technical strategy for our upcoming 2026 product suite. In this role, you will define the architectural blueprint for the next generation of generative AI and autonomous systems. If you are passionate about shaping the future and want to define the technological landscape of 2026, we want to hear from you.
Why Join Us?
We are a forward-thinking technology firm focused on long-term impact. You will work with a world-class team to solve complex problems, ensuring our solutions remain at the cutting edge of innovation for years to come.
Responsibilities
- Architect the 2026 Roadmap: Lead the end-to-end architectural design for our AI infrastructure, ensuring scalability and future-proofing.
- Model Optimization: Oversee the deployment and optimization of large language models (LLMs) and neural networks for enterprise use cases.
- Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- System Integration: Integrate AI solutions with legacy systems and new cloud-native architectures seamlessly.
- R&D Collaboration: Partner with the research department to translate theoretical breakthroughs into practical, deployable software products.
- Performance Monitoring: Establish key performance indicators (KPIs) and implement robust monitoring for AI model accuracy and latency.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field; PhD preferred.
- Experience: 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML engineering.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Docker).
- Strategic Vision: Proven track record of leading technical roadmaps and making strategic decisions that align with long-term business goals.
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.
- Problem Solving: Demonstrated ability to troubleshoot complex, large-scale system failures.