Senior AI Engineer / Copilot Studio Engineer - Fully Remote

Overview Cumulus IT Solutions, a growing IT consulting and professional services company, is seeking experienced and highly skilled AI Engineers / Copilot Studio Engineers to support a large enterprise customer in advancing their Generative AI and Enterprise AI platform initiatives. This is a fully remote contract opportunity with an initial engagement of 6 to 12 months, with the potential for extension based on project needs and performance. We are seeking hands-on engineers with expertise in Microsoft Copilot & Copilot Studio, Anthropic Claude, and Google Gemini technologies. Candidates may specialize in one platform or possess experience across multiple AI ecosystems. The ideal candidate will have a combination of platform engineering, AI solution development, security and governance expertise, and enterprise integration experience. These professionals will play a critical role in designing, implementing, securing, and operationalizing enterprise AI solutions while enabling business users to safely leverage advanced AI capabilities on a scale. Engagement Details Position Type: Contract (1099 or Corp-to-Corp)Location: 100% RemoteContract Duration: 6–12 Months Initial TermExtension: Possible based on project requirements and performanceCompensation: Negotiable based on experience and expertiseWork Authorization: Candidates must be authorized to work in the United StatesCorp-to-Corp (C2C): SupportedWe are looking for strong technical contributors who can work independently, collaborate with customer stakeholders, and deliver enterprise-grade AI solutions in fast-paced environments. Candidates with cross-platform expertise spanning Copilot Studio, Claude, and Google Gemini are highly desirable. Platform Engineering & Administration Serve as a technical subject matter expert for Microsoft Copilot Studio, Anthropic Claude, and/or Google Gemini platforms.Configure, administer, and optimize AI platform settings, governance controls, security controls, and environment configurations.Maintain platform operational health and ensure compliance with enterprise standards. Agent Development & Orchestration Design, build, test, and deploy sophisticated AI agents and copilots.Develop multi-agent orchestration solutions to support complex enterprise business processes.Build reusable skills, prompts, plugins, and AI-powered workflows across multiple business domains.Integrate enterprise systems, APIs, and data sources into AI solutions. MCP and Connector Development Design and implement custom Model Context Protocol (MCP) servers and integrations.Develop and maintain enterprise-grade connectors and reusable AI skills.Support data connector onboarding and lifecycle management from intake through production deployment.Integrate identity providers, permission models, and enterprise access controls. Security, Risk & Governance Conduct security assessments of third-party connectors, plugins, skills, and MCP implementations.Evaluate risks related to prompt injection, data leakage, unauthorized access, and data exfiltration.Perform architecture reviews and create mitigation strategies for identified risks.Ensure AI platform implementations meet enterprise security, privacy, and compliance requirements. Platform Enablement & Operations Manage connector registration, platform onboarding, and capability distribution.Configure skill and plugin distribution based on enterprise-wide or group-level access requirements.Develop documentation, implementation guides, and operational procedures.Provide technical guidance and support for internal stakeholders adopting AI capabilities. Automation & DevOps Implement Infrastructure as Code (IaC) solutions using Terraform and related tooling.Build CI/CD pipelines for AI platform provisioning, deployment, testing, and governance.Automate platform configuration, registration, and release processes across Development, Test, and Production environments.Establish monitoring, logging, and operational health dashboards for AI services. Required Qualifications Technical Experience 5+ years of software engineering, platform engineering, cloud engineering, or AI engineering experience.1+ years of hands-on experience with Microsoft Copilot Studio, Anthropic Claude, Google Gemini, or comparable Generative AI platforms.Demonstrated experience building enterprise-grade AI agents and copilots.Strong understanding of Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, and agent architectures.Experience implementing Model Context Protocol (MCP) integrations and custom AI tooling. Cloud & Integration Skills Experience integrating enterprise applications using REST APIs, Graph APIs, webhooks, and connector frameworks.Experience working with Azure, Google Cloud Platform, or other enterprise cloud services.Knowledge of identity and access management concepts including OAuth, SAML, OpenID Connect, and Entra ID. Security & Governance Experience reviewing AI applicat