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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying AI solutions using Microsoft 365 Copilot, Azure AI Foundry, and related technologies. Proficient in building RAG pipelines and integrating AI with enterprise systems while ensuring compliance and governance.
Highest-signal resume keywords
Microsoft 365 Copilot ExtensibilityAzure AI FoundryGenerative AI SolutionsPython or C# ProgrammingRAG Solutions with Azure AI Search
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Solution DesignDeclarative Agents DevelopmentAPI IntegrationEnd-to-End RAG PipelinesModel Deployment and ConfigurationPrompt ManagementMulti-Step OrchestrationVersion ControlCI/CD PracticesData Engineering
Soft Skills
Client-Facing ConsultingRequirements GatheringStakeholder ManagementTraining and SupportCollaboration
Tools & Technologies
Microsoft 365Azure AIPower AutomateDataverseMicrosoft FabricDatabricksMicrosoft GraphAzure FunctionsLogic AppsMicrosoft Entra ID
Certifications & Qualifications
Azure AI Engineer AssociateCopilot Studio CertificationPower Platform CertificationFabric Certification (DP-600, DP-700)
Industry Keywords
Generative AILLMOpsSecurity and ComplianceData ScienceSoftware Engineering
Tech Stack
Tools & technologiesAzurePython
About the role
Key responsibilities & impact- Design, build, and ship production AI solutions on Microsoft 365 Copilot, Copilot Studio, and Azure AI Foundry
- Build declarative agents, Copilot connectors, plugins, topics, actions, and autonomous agents
- Connect Copilot to SharePoint, Teams, Microsoft Graph, Dataverse, and line-of-business systems
- Write and iterate prompts, instructions, and agent configurations based on testing and user feedback
- Build custom agents and AI applications in Azure AI Foundry
- Select, deploy, and configure models from the Foundry model catalog, explaining cost, quality, and latency trade-offs
- Implement agentic workflows with tool calling, multi-step orchestration, and human-in-the-loop controls
- Integrate AI solutions with enterprise systems through APIs, Azure Functions, Power Automate, and Logic Apps
- Build end-to-end RAG pipelines, including ingestion, chunking, embedding, vector and hybrid search, and grounding
- Use Azure AI Search and Azure AI Document Intelligence to index and extract knowledge from Client content
- Partner with data engineers to connect AI solutions to Microsoft Fabric, Databricks, and other enterprise data platforms
- Build evaluation sets and test harnesses measuring answer quality, groundedness, hallucination rate, safety, latency, and cost
- Implement logging, monitoring, and tracing for deployed agents and models
- Apply security, identity, and governance controls using Microsoft Entra ID, Microsoft Purview, and Azure AI Content Safety
- Use version control, CI/CD, and code review standards for AI solution code and configuration
- Gather requirements, run working sessions, demo progress, and manage expectations with Client stakeholders
- Translate business problems into scoped AI use cases with clear success metrics
- Train Client users and administrators and support adoption after go-live
- Contribute reusable patterns, accelerators, and documentation to Collectiv's AI practice
Requirements
What you’ll need- Bachelor's degree from an accredited university in Computer Science, Data Science, Engineering, or a related field, or equivalent experience
- 4+ years of experience in software engineering, data engineering, or Microsoft 365 and Power Platform development
- 1+ years of hands-on experience building and deploying generative AI or LLM-powered solutions in production or Client environments
- Hands-on experience with Microsoft 365 Copilot extensibility and Copilot Studio
- Hands-on experience with Azure AI Foundry or Azure OpenAI
- Experience building RAG solutions with Azure AI Search
- Strong Python or C# skills
- Experience working in Azure, including storage, compute, identity, and networking
- Ability to work independently in a Client-facing consulting role
- Preferred: experience with Microsoft Agent Framework, Semantic Kernel, or AutoGen
- Preferred: experience with Power Platform, Dataverse, and Power Automate
- Preferred: experience with Microsoft Fabric, Databricks, or Power BI
- Preferred: experience with LLMOps practices, including evaluation frameworks, prompt management, and model monitoring
- Preferred: familiarity with security, privacy, and compliance considerations for AI in regulated industries
- Preferred: consulting experience across multiple Clients or industries
- Preferred: relevant certifications such as Azure AI Engineer Associate, Copilot Studio or Power Platform certifications, or Fabric certifications (DP-600, DP-700)
Benefits
Comp & perks- Fully remote work environment
- Quarterly in-person team experiences
- Competitive compensation
- Professional development opportunities
- Top-shelf benefits package
- Unlimited time off
- 100% covered health insurance, including medical, dental, and vision plans for the employee and family
- Competitive 401(k) with a 4% match
- Educational assistance
- Tech stipend
- Discounts on various goods and services