AI Solutions Developer

🔥 13 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

💻 Solutions Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Thrive

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2000

🔒 Cybersecurity

💼 Consulting

Cybersecurity • Consulting

Thrive is a B2B technology services firm that provides managed IT, cloud, and cybersecurity solutions for mid-market and enterprise clients. Its offerings include managed detection and response (MDR), EDR/NDR, vulnerability management, autonomous penetration testing, patching, managed firewalls, dark web monitoring, email/DNS security, security awareness training, incident response and remediation, and specialized security for Microsoft 365 and Azure. Thrive also delivers managed cloud services, disaster recovery, colocation, ServiceNow-based ITSM (TransformIT), managed network services, vCISO/vCIO advisory, and compliance support for standards such as HIPAA, GLBA, CMMC, GDPR and others. The company targets industries including financial services, healthcare, government, education, life sciences, and professional services, positioning itself as a consultancy and managed services provider that combines security, cloud, and digital transformation capabilities.

📋 Description

• Gather requirements, validate defined use cases, and support technical project scoping with clients, Microsoft Advisory, and internal technical stakeholders • Develop custom Microsoft AI solutions using Azure AI Foundry, Azure OpenAI, Copilot Studio, Power Platform, Microsoft Fabric, and Microsoft 365 data sources • Design, configure, and maintain Microsoft Fabric environments for AI, analytics, and data integration use cases • Support onboarding, configuration, and validation of client data sources for AI-enabled use cases • Build and test data pipelines, semantic models, lakehouse patterns, and retrieval-ready data structures • Connect AI applications, agents, workflows, and copilots to client data sources across Microsoft 365, Fabric, Dataverse, APIs, and approved enterprise systems • Implement solutions within security, governance, identity, permissions, and compliance requirements • Troubleshoot integrations across Azure AI services, Microsoft Fabric, Copilot Studio, Power Platform, Microsoft 365, and client data environments • Create reusable templates, patterns, and accelerators for common client AI use cases • Document solution architectures, deployment procedures, configuration decisions, and support handoff requirements • Move solutions from requirements through design, build, testing, deployment, and support

🎯 Requirements

• 1–2 years of client-facing experience in a technical, consulting, implementation, or delivery role • 1–4 years of software development, data engineering, automation, or AI solution development experience • Strong prompt engineering, context engineering, and technical solution design skills for AI-enabled applications • Hands-on experience with Azure AI Foundry, Azure OpenAI, Copilot Studio, Power Platform, or Microsoft Fabric • Experience building GPTs, projects, skills, agents, assistants, and workflows • Experience using Microsoft Fabric components such as lakehouses, warehouses, semantic models, Data Factory, OneLake, Power BI, and data security concepts • Familiarity with APIs, Model Context Protocol (MCP), and enterprise data integrations • Familiarity with enterprise data governance, identity, permissions, and secure deployment patterns across Microsoft environments • Snowflake, Databricks, or other modern data platform experience • Python, SQL, REST APIs, Graph API, and custom connector development • Experience deploying AI solutions into production with monitoring, documentation, and support handoff • Knowledge of security, compliance, and permission models for Microsoft 365, Azure, Fabric, and Power Platform