Partner with enterprise customers to design, build, and deploy production-grade AI applications using the Cogentiq platform. Develop integrations, connectors, APIs, and cloud-native backend services; ensure security, scalability, and reliability. Troubleshoot deployments, optimize performance, run technical workshops, and feed deployment learnings back into platform capabilities alongside AI, platform, and product teams.

Top Skills: Agentic AiAPIsAWSAzureCi/CdDatabricksDistributed SystemsDockerGitGCPGraphQLJavaJwtKnowledge GraphsKubernetesLlmsMcp ServersMessaging PlatformsMicroservicesModel Context Protocol (Mcp)OauthObservabilityPrompt EngineeringPythonRest ApisRetrieval-Augmented Generation (Rag)SalesforceSAMLSAPSdksServicenowSharepointSnowflakeSQLTypescriptWorkday

Fractal

Lead Architect, Forward Deployed Engineer (Cogentiq)

26 Days AgoSaved

In-Office

New York, NY, USA

185K-185K Annually

Senior level

185K-185K Annually

Senior level

Artificial Intelligence • Consulting

Lead Forward Deployed Engineer to design, build, and deploy production-grade enterprise AI solutions using Cogentiq. Responsibilities include integration with enterprise systems, creating connectors/APIs/SDKs, architecting cloud-native microservices, troubleshooting production deployments, and feeding deployment learnings back into the platform. Works closely with customers and cross-functional teams to translate requirements into reusable platform capabilities.

Top Skills: Agentic AiAPIsAWSAzureCi/CdDatabricksDockerEvent-Driven ArchitecturesGitGCPGraphQLJavaJwtKnowledge GraphsKubernetesLlmsMicroservicesModel Context Protocol (Mcp)OauthObservabilityPrompt EngineeringPythonRestRetrieval-Augmented Generation (Rag)SalesforceSAMLSAPSdksServicenowSharepointSnowflakeSQLTypescriptWorkday

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