SOLUTION ARCHITECT

We are looking for an experienced AI Architect to join our team and drive the design and implementation of cutting-edge AI solutions. As an integral part of our department, you will play a key role in shaping the future of our AI-driven applications and services. Your deep expertise in Google Cloud Platform (GCP) and Python, along with your architectural leadership, will be instrumental in delivering scalable and secure AI solutions

Design and optimize cloud architectures on GCP, ensuring scalability, security, and cost-efficiency. Lead end-to-end solution architecture for cloud-native and AI-driven applications, defining best practices and standards. Architect and implement AI/ML solutions, including data ingestion, training, deployment, and monitoring. Deliver Generative AI solutions using LLMs, embeddings, and RAG patterns, integrating foundation models. Ensure responsible AI practices, focusing on security, governance, and performance. Lead Python-based service development, establishing coding standards and CI/CD pipelines for AI workloads. Collaborate closely with cross-functional teams, translating business needs into technical solutions. Support pre-sales activities, providing technical expertise and architecture reviews. Mentor and guide implementation teams, fostering a culture of continuous learning and improvement.

10+ years of experience in software engineering, cloud, and architecture roles. Strong hands-on experience with Google Cloud Platform (GCP), including compute, storage, networking, and security services. 5+ years of hands-on Python development experience, leading Python-based projects. 5+ years of designing and implementing machine learning solutions, with a focus on AI/ML lifecycle management. 2+ years of practical experience in building Generative AI applications, including LLMs and prompt engineering. Deep understanding of distributed systems, microservices, and cloud-native architectures. Familiarity with MLOps practices, containerization (Docker), and orchestration (Kubernetes). Knowledge of vector databases and search systems, and exposure to multi-cloud environments. Excellent communication and leadership skills, with the ability to mentor and influence teams.