Forward Deployment Engineer – AI

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Cyclotron, Inc.

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51 - 200 employés

Fondée en 2014

🏢 Entreprise

☁️ SaaS

⚡ Productivité

Enterprise • SaaS • Productivity

Cyclotron, Inc. est une entreprise de services et de solutions informatiques stratégiques spécialisée dans la transformation numérique et les solutions de milieu de travail moderne. Elle propose des services tels que la collaboration en cloud, la sécurité en cloud et la modernisation du cloud pour améliorer la productivité et la collaboration au sein des entreprises. De plus, Cyclotron offre une expertise en conformité, protection des données, gestion des identités et des accès, ainsi que gestion des terminaux. Elle exploite la suite d'outils de Microsoft pour mettre en œuvre et gérer des solutions durables dans divers secteurs, y compris la finance, la santé, la fabrication et le secteur public.

Description

• Deploy AI and agentic solutions into enterprise production environments. • Build enterprise-grade workflows, integrations, and custom AI applications. • Operationalize Microsoft Copilot and Copilot Studio use cases. • Implement secure AI data access patterns and support Retrieval-Augmented Generation architectures. • Work directly with enterprise stakeholders to understand business challenges and translate workflows into AI-enabled solutions. • Lead rapid prototyping and proof-of-concept efforts. • Troubleshoot deployment and adoption issues in real time. • Conduct workshops, demonstrations, and architecture reviews. • Develop APIs, orchestration workflows, and integrations across platforms such as ServiceNow, Salesforce, SAP, SharePoint, Microsoft Teams, Dataverse, and Graph API. • Support AI governance and security initiatives by helping establish guardrails, runtime protections, observability, telemetry, and risk mitigation practices. • Contribute reusable deployment accelerators, solution kits, and feedback that help shape Cyclotron’s AI deployment methodologies and go-to-market offerings.

🎯 Exigences

• 5+ years of experience in cloud engineering, AI engineering, or enterprise solution delivery • Hands-on experience with Microsoft Azure and Generative AI technologies • Strong understanding of Azure OpenAI, Copilot Studio, Microsoft Graph API, REST APIs, identity and access management, and enterprise platform integrations • Strong scripting or development skills in Python, C#, JavaScript or TypeScript, and PowerShell • Experience deploying AI or automation solutions in enterprise environments • Familiarity with RAG architectures, AI agents, prompt engineering, workflow orchestration, and vector databases • Understanding of AI governance, compliance, security concepts, and enterprise data protection practices • Strong executive communication skills and the ability to explain complex AI concepts to non-technical stakeholders • Ability to work directly with enterprise customers in fast-moving, ambiguous environments under tight timelines.

🏖️ Avantages

• competitive health, dental, and vision insurance • 100% of employee medical premiums • generous and flexible paid time off (PTO) • retirement plan options • ongoing training opportunities • flexible work arrangements • robust wellness programs