Nokia is seeking a highly skilled AI/ML Domain Architect to design, deploy, and operationalize advanced AI/ML solutions with a focus on MLOps, Generative AI (GenAI), LLM Ops, and Agentic AI integration to accelerate delivery for telecom, enterprise, and next-generation autonomous network solutions.
Requirements
- Proven experience with LLM platforms and GenAI ecosystems (OpenAI, Anthropic, Vertex AI, Hugging Face, LangChain, LlamaIndex).
- Strong proficiency in Python, PyTorch, TensorFlow, Scikit-learn, SQL.
- Expertise in MLOps pipelines (Kubeflow, MLflow, Vertex AI pipelines, ArgoCD, CI/CD for ML).
- Data Engineering: Spark, Kafka, Flink, Airflow.
- Deep knowledge of cloud platforms: GCP, AWS, Azure.
- Implement ML pipelines using platforms such as Vertex AI, Red Hat OpenShift AI, and Kubeflow.
- Experience with Agentic AI frameworks for orchestrating autonomous agents and multi-step workflows.
Responsibilities
- Design, optimize, and scale end-to-end ML pipelines using ML-Ops best practices, including CI/CD, model deployment, and performance monitoring.
- Develop and operationalize Gen AI/LLM-based solutions, applying techniques such as fine-tuning, prompt engineering, Retrieval-Augmented Generation (RAG), and LLM observability.
- Integrate Agentic AI frameworks with existing AI/ML systems to enable autonomous decision-making and intelligent workflow orchestration.
- Implement robust data pipelines for ingestion, preprocessing, and feature engineering across structured, semi-structured, and unstructured data sources.
- Collaborate cross-functionally with data scientists, solution architects, and delivery teams to translate AI/ML use cases into scalable, production-ready solutions.
- Design and manage cloud-native AI/ML infrastructure on platforms like Google Cloud (Vertex AI), Red Hat OpenShift AI, and Kubeflow.
- Deploy scalable AI solutions across multi-cloud and hybrid environments using Kubernetes and container orchestration.
Other
- Bachelor’s/Master’s in Computer Science, Data Engineering, AI/ML, or related field.
- 10+ years of experience in AI/ML engineering, including 5+ years in MLOps.
- Must be willing to work in the US/Canada
- Corporate Retirement Savings Plan, Health and dental benefits, Short-term disability, and long-term disability
- Paid time off for holidays and Vacation
