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Contribute to the future of Mercedes-Benz in China by leading the charge in AI innovation – build innovative solutions, drive rapid prototypes, and scale AI to new heights. As part of the AI&Data Value team, the…
Consultant/architect role delivering graph, ontology and semantic solutions on enterprise client projects — data modeling, semantic integration, ontology governance and graph-RAG. Stack: Neo4j, Amazon Neptune, Azure Cosmos DB, Stardog, SPARQL/Gremlin/Cypher, RDF/OWL, ETL pipelines on AWS/Azure. Remote in Spain (hybrid), English C1.
AI & Data Engineer in Sevilla (hybrid) delivering consulting projects for large clients: designing Knowledge Graph, ontology and semantic-integration solutions on graph databases like Neo4j, Neptune and Cosmos DB, writing SPARQL/Cypher/Gremlin queries, building RDF/OWL models and ETL/ELT pipelines, with a growth path toward Senior Data Architect.
Senior knowledge-graph engineer in Accenture's Data & AI practice in Spain: leads client-facing builds of knowledge graph and semantic AI solutions — ontology design, graph data pipelines, and LLM-powered applications — using RDF/SPARQL, graph databases (Neo4j, Stardog, Neptune), Python, and cloud platforms, in a hybrid model across four Spanish cities.
Bei Palturai helfen wir Behörden, Versicherungen und Unternehmen dabei, Betrug, Geldwäsche und komplexe kriminelle Strukturen in großen Datenmengen sichtbar zu machen. Unsere Graph Intelligence Engine ist die…
A Senior Consultant in Capgemini Invent's Data Driven Transformation team who owns client workstreams end-to-end, designing semantic layers, knowledge graphs, and RAG/contextual AI systems for enterprise AI engagements. Core stack includes LookML/dbt, Neo4j, vector stores, and cloud data platforms like BigQuery/Snowflake.
Capgemini is hiring a Cybersecurity Solution Architect in New York (hybrid, day-one onsite) to define the target architecture for a modernized vulnerability management (VMAD) platform — designing secure data pipelines, analytics services, security graph, and integrations with scanners and security tools, largely on Azure and Snowflake.
Junior AI consultant on Capgemini's Energy & Utilities team, working onsite in Houston with senior consultants and clients to build and deploy generative and predictive AI solutions. Day-to-day involves data preparation, ML model development, agentic AI workflows, and client presentations using Python, Azure/AWS/GCP, Databricks, and PySpark.
Leads the platform group inside Capgemini's New Co AI-native product unit, owning the agentic AI floor (model gateway, agent runtime, evals, guardrails) and shared services powering insurance-claims, payments, and health products. Hands-on with Kubernetes, LLM serving/fine-tuning, LangGraph/LangSmith, PostgreSQL/pgvector, ClickHouse, and Neo4j.
Build and own the shared AI platform — model gateway, agent runtime, evaluation harness, guardrails, and shared services — that Capgemini Financial Services' AI products for banks, insurers, and health plans run on, including pipelines to fine-tune in-house LLMs/SLMs. Core stack: Python/Go/Rust, Kubernetes, LangGraph/LangSmith, MCP.
Builds the shared AI platform — model gateway, agent runtime, eval harness, guardrails, and training/fine-tuning loops — that Capgemini's new financial-services product org uses to ship AI products for insurance claims and payment operations to banks and insurers. Day to day it's senior Python/Go-or-Rust platform engineering on Kubernetes, LLM infrastructure, and post-training pipelines, in a hybr
Capgemini is hiring a hands-on GenAI/Agentic AI Developer in New York to design, build, and deploy enterprise LLM, RAG, and multi-agent solutions. Day-to-day work spans Python backend APIs, agent orchestration, vector search pipelines, and LLMOps with Docker/Kubernetes on cloud platforms. US work authorization without sponsorship is required.
Mid-senior data scientist at Capgemini Engineering in Lisbon (hybrid) building the data foundations for life sciences projects: designing biomedical data models, Python/SQL pipelines, and knowledge graphs (RDF/OWL/SPARQL, Neo4j), while applying ML/Gen AI and aligning scientific, engineering, and product stakeholders.
Senior Staff AI Engineer building AI applications and agents using LLMs, Knowledge Graphs (Neo4j, Cosmos DB), and GraphRAG. The role involves designing ML models for manufacturing and SCM, developing data pipelines, and deploying models to production.
Capgemini is hiring an AI & Data Scientist in Stockholm to partner with clients on turning data into business value — building forecasting, recommendation and optimisation solutions, assessing AI use cases, and applying GenAI/Agentic AI. Core stack includes Python or R, SQL, LLM frameworks (LangChain, LangGraph, LlamaIndex), visualization tools, and cloud data platforms like Databricks, Snowflake,
Capgemini Engineering is hiring a Solution Engineer in Lisbon to design, integrate, customize, and deploy autonomous network assurance and cloud-native EMS/NMS solutions for telecom clients, covering API integration, automation, testing, troubleshooting, and customer engagement. Core tech: Java, Python, REST/SNMP/XML, MariaDB/Oracle/Neo4j, Docker, Kubernetes, Ansible.
Early-career, client-facing AI consultant at Capgemini developing AI/ML, Generative AI, and predictive analytics solutions for Energy & Utilities clients — building RAG apps, AI agents, and MLOps pipelines with Python, LangChain, Databricks, and cloud platforms (AWS/Azure/GCP). Based in Houston, TX.
A frontend engineer role at Capgemini designing and building modern React/TypeScript web applications, visualization dashboards, and accessible UI components in collaboration with UX designers, with some backend integration work. Hybrid role based onsite in Charlotte, NC.
Hands-on lead full stack engineer at Capgemini Engineering in Sydney (hybrid, 3 days onsite) providing technical leadership for cloud-native, master data and graph-enabled solutions, largely for financial services clients. Works across Angular/Next.js/Vue, Java/Go, Neo4j/BigQuery graphs, GCP and Kubernetes.
Job Summary: Responsible for building high-quality, innovative and fully performing software in compliance with coding standards and technical design. Design, modify, develop, write and implement software programming…
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