Nokia

Domain Architect – AI/ML

Nokia

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $110,027 - $204,336 per year

Job Level

SeniorLead

Tech Stack

AirflowAWSAzureCloudDistributed SystemsGoogle Cloud PlatformKafkaKubernetesMicroservicesOpenShiftPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

  • Design, deploy, and operationalize advanced AI/ML solutions with a focus on MLOps, Generative AI (GenAI), LLM Ops, and Agentic AI integration
  • Build scalable ML pipelines, LLM-based applications, and intelligent agent frameworks for telecom, enterprise, and autonomous network solutions
  • 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
  • Ensure observability and governance of AI systems, including model drift detection, fairness, compliance, and LLM usage guardrails
  • Create accelerators, reusable frameworks, and automation tools to reduce time-to-market and enhance delivery efficiency
  • Support customer engagements through proof-of-concepts (PoCs), pilot implementations, and production rollouts

Requirements

  • 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
  • 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
  • Strong skills in API integration, microservices, and distributed systems
  • Familiarity with telecom data products and autonomous networks use cases and Ab-intio data management platform (preferred)
  • Experience in data mesh, data fabric, and modern data architectures (preferred)
  • Knowledge of vector databases and retrieval-augmented generation (RAG) (preferred)
  • Understanding of security, compliance, and governance for LLM/GenAI deployment (preferred)
  • Contributions to open-source AI/ML or GenAI frameworks (preferred)
  • Exposure to TM Forum, 3GPP standards, and telecom AI frameworks (preferred)