CoPilot Solutions Engineer Job Charlotte area,North Carolina USA,IT/Tech

Position:
CoPilot Solutions Engineer (26-06429)

Location
: Plano TX or Charlotte NC (3 days in office, 2 days remote)

Duration
: 12 month contract (ext up to 36 months)

Interview Mode: 1 Web Ex int and possible 1 in person final interview

We are seeking an Expert Copilot Solutions Engineer to architect, design, and operationalize enterprise-grade AI solutions leveraging Microsoft Copilot, Copilot Studio, and Azure AI services. This role is responsible for delivering scalable, secure, and compliant Copilot ecosystems that enable intelligent automation, conversational AI agents, and data-driven decision-making across Microsoft 365 and integrated enterprise platforms.

Responsibilities:

Drive enterprise adoption of Copilot and AI agent solutions, enabling secure, scalable automation and intelligent digital workflows
Test, validate, and certify Copilot solutions to ensure functional accuracy, performance, and alignment with enterprise standards
Evaluate and modify governance, security, and compliance controls to support new Copilot feature releases and capabilities
Ensure secure and compliant deployments across regulated environments (e.g., GCC/GCC High), including identity, data access, and grounding controls
Establish and operate a governed Copilot platform (CoE model) to balance innovation with risk management and policy enforcement
Define and enforce standardized ALM and Dev Ops practices for Copilot solutions to reduce manual effort and minimize production risk
Proactively identify and mitigate risks related to data exposure, model misuse, and non-compliant AI implementations
Design and validate RAG-based Copilot architectures, including grounding strategies across Microsoft 365, SharePoint, and enterprise data sources
Build and test Copilot Studio agents, prompts, and orchestration workflows, ensuring reliability and reusability
Integrate Copilot solutions with enterprise systems (Graph API, Azure services, data platforms) while maintaining strict access controls
Implement and validate monitoring, logging, and audit frameworks for Copilot usage, performance, and compliance
Partner with security, engineering, and business teams to enable responsible AI adoption, including policy alignment and release readiness validation
Participate in Agile delivery cycles (planning, testing, release validation) and produce technical and governance documentation

Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
7+ years of experience in AI/ML engineering, cloud development, or enterprise platform engineering
Proven delivery of enterprise-grade AI/Copilot or automation platforms at scale
Hands-on Microsoft Copilot Studio expertise including Agent design, prompt flows, orchestration, and lifecycle management
Experience building enterprise copilots / AI agents including workflow orchestration, approvals, error handling/retry patterns, child flows, and custom connectors
Strong RAG architecture knowledge including Embeddings, vector databases, semantic search, and grounded AI systems
Strong experience with Azure AI Foundry, Azure SQL / SQL Server, and complex data modeling
Proven ability to integrate multiple systems using REST APIs, custom connectors, and Azure services (Blob Storage, Logic Apps)
Proficiency in SQL querying, performance tuning, and data pipeline integration
Hands-on experience implementing Power Platform ALM, Managed/unmanaged solutions, solution layering, and environment strategies (Dev/Test/Prod)
Experience building CI/CD pipelines using Azure Dev Ops and Power Platform Build Tools
Experience implementing Microsoft Entra (Azure AD), SSO, RBAC, conditional access, service principals, and app registrations
Experience working in Azure Government / GCC / GCC High or regulated environments
Experience building and integrating Power BI dashboards and reports