Forward Deployed Engineer Manager
OverviewSi assicuri di inviare la sua candidatura con tutte le informazioni richieste, come indicato nella panoramica del lavoro riportata di seguito.As a Forward Deployed AI Engineer, you deploy AI platforms inside client enterprises, owning outcomes like time-to-value, adoption, reliability, and scalability. You work across multi-stakeholder environments, translating platform capabilities into measurable business value. You lead architecture, governance, and adoption strategy, shaping reinvention roadmaps. This role offers enterprise-scale AI deployment across industries, with hands-on influence on CTO/CFO/CISO priorities.ResponsabilitàLead enterprise AI platform deployments across complex client environments, coordinating architecture to adoptionOwn programme-level delivery outcomes with time-to-value, reliability, adoption velocity, and scalabilityDrive rapid experimentation to production systems within days/weeks in enterprise settingsArchitect and govern AI solutions spanning identity, data, security, governance, and multi-system integrationShape reinvention strategy for client CTO/CFO/CISO, including ROI backlogs and adoption roadmapsPublish reusable blueprints, patterns,
and accelerators for scale across engagementsLead architecture design sessions and executive workshops with client leadershipCodify delivery learnings and engineering standards for the FDE practiceRequisiti fondamentaliExtensive engineering experience with cloud-native systems (APIs, microservices, containerization, serverless)Deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in productionExperience with AI platforms (OpenAI, Claude, Vertex AI) and multi-provider pipelinesExperience leading software engineering teams and managing delivery across multiple workstreamsEnd-to-end delivery ownership in client-embedded or production environmentsProven ability to quantify business xysqume value and communicate with senior stakeholders (CTO/CFO/CISO)Experience presenting to senior client stakeholders and building trust at executive levelPeople leadership: managing, developing, and performance-managing engineersStakeholder managementLeadership and people developmentStrategic thinking and business-value articulationCloud-native architectures (APIs, microservices, containerization, serverless)Agentic solution design (agents, orchestration, context engineering, RAG, workflows)AI platforms (OpenAI, Claude, Vertex AI) and multi-provider pipelines
and accelerators for scale across engagementsLead architecture design sessions and executive workshops with client leadershipCodify delivery learnings and engineering standards for the FDE practiceRequisiti fondamentaliExtensive engineering experience with cloud-native systems (APIs, microservices, containerization, serverless)Deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in productionExperience with AI platforms (OpenAI, Claude, Vertex AI) and multi-provider pipelinesExperience leading software engineering teams and managing delivery across multiple workstreamsEnd-to-end delivery ownership in client-embedded or production environmentsProven ability to quantify business xysqume value and communicate with senior stakeholders (CTO/CFO/CISO)Experience presenting to senior client stakeholders and building trust at executive levelPeople leadership: managing, developing, and performance-managing engineersStakeholder managementLeadership and people developmentStrategic thinking and business-value articulationCloud-native architectures (APIs, microservices, containerization, serverless)Agentic solution design (agents, orchestration, context engineering, RAG, workflows)AI platforms (OpenAI, Claude, Vertex AI) and multi-provider pipelines