Service Architect

Join our Team 
 About the opportunity Ericsson’s Service Architecture team, within Service Management in the Operate Service Line, is building intelligent automation and decision-support systems for telecom-scale managed services. In Software Development, you will design, build, test, and ship production-grade AI services focused on Agentic AI, LLM integrations, vector retrieval, knowledge graph reasoning, and ML infrastructure. Working with platform engineers, data scientists, and product owners, you will turn AI experiments into reliable services that deliver measurable value across Ericsson’s managed service operations.

Design multi-agent systems using LangGraph, AutoGen, CrewAI, Google ADK, or equivalent orchestration. Build LLM services with prompt engineering, tool/function calling, planning, memory, reflection, guardrails, fallback patterns, and RAG. Integrate and evaluate commercial API-based and open-source/self-hosted LLMs, balancing cost, latency, accuracy, privacy, and complexity. Build RAG pipelines using ChromaDB, Qdrant, Vertex AI RAG, Pinecone, Weaviate, pgvector, Milvus, or equivalent; manage embeddings, hybrid search, re-ranking, and index lifecycle. Model and query property graphs and RDF/ontologies to enrich agent context, semantic reasoning, and structured retrieval. Create evaluation harnesses with automated scoring, human review, A/B testing, and golden datasets. Develop ML pipelines for feature engineering, training, evaluation, serving, fine-tuning, packaging, versioning, and monitoring using Python, PyTorch, scikit-learn, and HuggingFace. Apply ML methods including regression, classification, tree ensembles, boosting, SVMs, neural networks, clustering, PCA/UMAP, LSTMs, and Transformers. Monitor model drift, data quality, performance, latency, and token cost in production. Build clean, testable Python/PySpark services and REST/FastAPI/Flask/gRPC APIs using clean-architecture principles. Contribute to CI/CD with GitHub Actions, Jenkins, or ArgoCD; participate in reviews, architecture discussions, documentation, runbooks, and mentoring.   You will bring 6 –15 years of software development experience and a Bachelor’s/Master’s degree in Computer Science, Software Engineering, AI/ML, or equivalent. 5+ years of hands-on ML engineering and LLM development experience in production. Production experience with Agentic AI, vector database-backed RAG, and knowledge graph integrations. Expert Python; PySpark is desirable. Experience with Spark, SQL, Pandas/Polars, structured streaming, Delta Lake/Iceberg, and Kafka/Pulsar. LLM fine-tuning and optimisation knowledge, including LoRA/QLoRA, RLHF, ONNX, TensorRT, quantisation, and efficient inference. Experience with Docker, Kubernetes, AWS/Azure/GCP, Databricks or EMR, and MLOps tools such as MLflow or Weights & Biases. Knowledge of LLM observability, structured logging, token-cost tracking, alerting, responsible AI, and model safety. Working knowledge of TOGAF or an equivalent enterprise architecture framework and technical documentation standards.   “All academic credentials must be from recognized and accredited institutions and are further subject to verification.”    Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.   What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is