Position Overview: We are in search of a highly experienced Senior AI Systems Architect to take charge of designing and implementing innovative AI and machine learning solutions across various enterprise environments. In this pivotal role, you will lead the entire lifecycle of AI system development, encompassing foundational model integration through to production deployment. You will collaborate effectively with application architects, data scientists, and domain specialists to create solutions that drive significant impact.
Key Responsibilities: - Design Scalable AI Solutions: Architect and deploy robust AI pipelines that ensure complete model management-from training to production monitoring.
- Create Intelligent Agents & Custom Models: Develop and refine language, vision, and multimodal models specifically designed for diverse industry applications.
- Cross-Disciplinary Collaboration: Work closely with engineering, product teams, and data scientists to transform AI-driven features into reality.
- Mentor and Lead: Provide guidance and leadership to a dynamic team of AI engineers and practitioners, fostering growth and expertise.
Success Criteria: - Successful deployment of impactful enterprise-grade AI systems into production.
- Delivery of intelligent agents and models that align with critical business processes.
- Promotion of a robust engineering culture focused on innovation and learning in AI.
Qualifications: - Deep knowledge of advanced machine learning, deep learning, and state-of-the-art neural network architectures.
- Experience with MLOps platforms and effective model lifecycle management.
- Familiarity with major public cloud providers (AWS, GCP, Azure) and scalable AI infrastructures.
- Hands-on experience with foundation models, LLM customization, and tools such as LangChain or similar frameworks.
- Background in optimization, forecasting, and simulation methods.
- Proficiency in Python, PyTorch or TensorFlow, as well as containerization technologies (Docker, Kubernetes).