Senior AI-Stack Developer / Architect

We are hiring for a leading global technology solutions company focused on AI, cloud, and enterprise transformation projects. The AI Stack Engineer / Architect will be responsible for designing and managing AI & GenAI solutions on Red Hat OpenShift AI (RHOAI) across hybrid and multi-cloud environments, working with Kubernetes, modern MLOps/GenAIOps practices, and scalable enterprise AI platforms. Key Responsibilities Design and implement AI/ML and Generative AI solutions Build and manage AI/ML pipelines including data preparation, model training, evaluation, deployment, monitoring, and inference. Develop scalable GenAI architectures using Kubernetes, containerized workloads, and hybrid cloud environments. Work on LLM/RAG-based solutions, inference optimization, GPU acceleration, and distributed AI workloads. Collaborate with data science, engineering, and platform teams to productionize AI use cases. Drive MLOps and GenAIOps best practices including CI/CD, model lifecycle management, observability, and performance tuning. Create reference architectures, PoCs, and reusable solution frameworks for enterprise AI adoption. Required Skills & Experience Strong expertise in Kubernetes, Red Hat OpenShift, and hybrid cloud architectures. Hands-on experience with Red Hat OpenShift AI (RHOAI) and enterprise AI platforms. Good understanding of AI/ML and Generative AI workflows including model training, fine-tuning, inference, and monitoring. Experience with Python or Go and ML frameworks like PyTorch or TensorFlow. Knowledge of LLMs, RAG, vLLM, agentic AI workflows, and inference optimization techniques. Experience with GPU optimization, distributed training, and large-scale AI deployments. Familiarity with AWS, Azure, or GCP cloud platforms. Strong understanding of MLOps/GenAIOps, observability, and scalable AI infrastructure. Excellent communication and stakeholder management skills.