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Forward Deployment Engineer – AI
Cyclotron, Inc.Forward Deployment Engineer – AI working with enterprise clients to design and deploy AI-powered solutions. Role focuses on scaling production deployments using advanced Microsoft technologies.
Posted 5/19/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $165,000 - $225,000 per yearWebsite
Tech Stack
Tools & technologiesAzureCloudJavaScriptPythonServiceNowTypeScript
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
cloud engineeringAI engineeringenterprise solution deliveryMicrosoft AzureGenerative AIAzure OpenAIREST APIsPythonC#JavaScript
Soft Skills
executive communicationexplain complex conceptswork with enterprise customersadaptabilityproblem-solving