Forward Deployed Engineer – AI

Cyclotron, Inc.

Forward Deployment Engineer designing and deploying AI-powered solutions in enterprise environments. Collaborating with clients to operationalize AI from pilots to production.

Posted 5/20/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $165,000 - $225,000 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudJavaScriptPythonServiceNowTypeScript

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 covered
Generous and flexible paid time off (PTO)
Retirement plan options
Ongoing training opportunities
Flexible work arrangements
Robust wellness programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

cloud engineeringAI engineeringenterprise solution deliveryMicrosoft AzureGenerative AIPythonC#JavaScriptTypeScriptPowerShell

Soft Skills

executive communicationexplain complex conceptswork with enterprise customersadaptabilityproblem-solving