4 of 4 Remote/Hybrid Amazon Neptune Jobs in London

Cypher, property graph modeling)Ontology Engineering (OWL/RDF, Protégé)Graph RAG (LLM integration, retrieval strategies)API Design (REST/GraphQL)Preferred SkillsGraph platforms: Neptune, TigerGraphSemantic standards: SPARQL, SHACLAI/ML and LLM ecosystem exposureData governance and integration experienceSummaryThis role is pivotal in shaping the semantic foundation for enterprise ...

opportunities. Experience with containerisation technologies ( Docker, Kubernetes ) for scalable data solutions. Experience with vector databases and graph databases (e.g., Pinecone, Neo4j, AWS Neptune ). Understanding of data mesh-fabric approaches and modern data architecture patterns . Familiarity with AI/ML workflows and their data requirements. Experience with ...

with Graph RAG workloads and traversal optimizationDevOps tools (Docker, Kubernetes, CI/CD pipelines)Monitoring tools (Prometheus, Grafana, etc.)Experience with other graph databases (Neptune, TigerGraph)Job ExpectationsEnsure stable, secure, and high-performing Neo4j platform operationsEnable efficient graph query execution for AI and analytics workloadsMaintain enterprise-grade infrastructure ...

infrastructure and AI platforms using Terraform, GitHub Actions, Ansible, ECS/Fargate, and AWS native services. Build and operationalise enterprise GenAI solutions using Amazon Bedrock, LLMs, RAG pipelines, vector databases, embeddings, chunking strategies, workflow orchestration (DAG/agentic), and AI observability. Develop and maintain CI/CD pipelines, Infrastructure … scalable, and cost-effective cloud and AI solutions. What You Need to Have to Be Considered Strong hands‐on experience with AWS services including Amazon Bedrock, ECS/Fargate, Lambda, EC2, API Gateway, VPC, ALB, IAM, CloudWatch, S3, EFS, DynamoDB, and Neptune, alongside Infrastructure as Code using Terraform. ...