In this role, you will lead the design, operationalization, and scaling of intelligent systems—from LLM-powered solutions to autonomous AI agents—driving innovation across multiple industries.This position is ideal for a visionary architect with a passion for pushing AI boundaries and transforming cutting-edge research into production-ready systems. You will play a strategic leadership role, working closely with global teams to deliver advanced AI solutions that meet enterprise demands for scalability, security, and performance.
How You Will Contribute And What You Will Learn
- Build, optimize, and scale end-to-end ML pipelines using MLOps best practices (CI/CD, model deployment, monitoring).
- Develop and operationalize GenAI/LLM-based solutions (fine-tuning, prompt engineering, RAG pipelines, LLM monitoring).
- Integrate Agentic AI frameworks with existing AI/ML systems to enable autonomous decision-making and workflow orchestration.
- Implement data ingestion, preprocessing, and feature engineering for structured, semi-structured, and unstructured data.
- Collaborate with data scientists, architects, and delivery teams to translate AI/ML use cases into production-ready solutions.
- Design and manage cloud-native AI/ML infrastructure on GCP (Vertex AI), Red Hat OpenShift AI, and Kubeflow.
- Deploy scalable solutions across multi-cloud/hybrid environments with Kubernetes and container orchestration.
- Ensure observability and governance for AI systems (model drift, fairness, compliance, LLM usage guardrails).
- Create accelerators, reusable frameworks, and automation to reduce time-to-market for AI solutions.
- Support PoCs, customer pilots, and production rollouts.
Key Skills And Experience
If you have:
- 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.
- Excellent communication and collaboration skills for cross-functional and global delivery teams.
It would be nice if you also had:
- Ab-intio data management platform
- Familiarity with telecom data products and autonomous networks use cases.
- Experience in data mesh, data fabric, and modern data architectures.
- Knowledge of vector databases and retrieval-augmented generation (RAG).
- Understanding of security, compliance, and governance for LLM/GenAI deployment.
- Contributions to open-source AI/ML or GenAI frameworks.
- Exposure to TM Forum, 3GPP standards, and telecom AI frameworks
About Us
Come create the technology that helps the world act together
Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
What we offer
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
Nokia is committed to inclusion and is an equal opportunity employer
Nokia has received the following recognitions for its commitment to inclusion & equality:
- One of the World’s Most Ethical Companies by Ethisphere
- Gender-Equality Index by Bloomberg
- Workplace Pride Global Benchmark
At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.We are committed to a culture of inclusion built upon our core value of respect.Join us and be part of a company where you will feel included and empowered to succeed.
About The Team
As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.
