AI Engineer, Forward Deployed (Copilot and Azure AI Foundry)

Responsibilities

Build, integrate, and deploy production AI solutions using Microsoft 365 Copilot, Copilot Studio, and Azure AI Foundry, including agents, RAG pipelines, and enterprise data integrations. Work directly with client stakeholders to define use cases, evaluate and secure solutions, prepare them for production, and support adoption.

Requirements

Requires a bachelor's degree or equivalent experience, at least four years of relevant engineering or Microsoft platform experience, and at least one year building and deploying generative AI solutions. Candidates need hands-on experience with Microsoft 365 Copilot extensibility, Copilot Studio, Azure AI Foundry or Azure OpenAI, Azure AI Search-based RAG, strong Python or C# skills, and the ability to work independently with clients; US citizenship and US location are required for this engagement.

Skills

• Microsoft 365 Copilot
• Copilot Studio
• Azure AI Foundry
• Azure OpenAI
• Retrieval-Augmented Generation
• Azure AI Search
• Python
• C#
• Agentic Workflows
• Prompt Engineering
• Microsoft Graph
• Dataverse
• Azure Functions
• Power Automate
• Microsoft Fabric
• LLMOps

Benefits

• Unlimited Time Off
• Health Insurance
• Medical Insurance
• Dental Insurance
• Vision Insurance
• 401(k) With 4% Match
• Educational Assistance
• Technology Stipend
• Employee Discounts

About this role

Role Overview
The AI Engineer is a hands-on builder who works directly with Client teams to design, build, and ship production AI solutions on Microsoft 365 Copilot, Copilot Studio, and Azure AI Foundry (now Microsoft Foundry). This is an individual contributor role. You will write the code, configure the agents, wire up the data, and get solutions into the hands of real users.
You will work inside a Collectiv delivery team alongside a project lead, architects, and data engineers. You will partner directly with Client business and IT stakeholders to turn a business problem into a working AI solution, then harden it for production.
Key Responsibilities
Copilot Solutions
Build declarative agents, Copilot connectors, and plugins that extend Microsoft 365 Copilot with Client data and workflows
Build Copilot Studio agents, topics, actions, and autonomous agents for business processes
Connect Copilot to SharePoint, Teams, Microsoft Graph, Dataverse, and line-of-business systems
Write and iterate on prompts, instructions, and agent configurations based on test results and user feedback
Azure AI Foundry Solutions
Build custom agents and AI applications in Azure AI Foundry for use cases that go beyond out-of-the-box Copilot
Select, deploy, and configure models from the Foundry model catalog, and explain the trade-offs in cost, quality, and latency
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
Retrieval and Data Foundations
Build end-to-end retrieval-augmented generation (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 Collectiv data engineers to connect AI solutions to Microsoft Fabric, Databricks, and other enterprise data platforms
Evaluation and Production Readiness
Build evaluation sets and test harnesses that measure 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 all AI solution code and configuration
Consulting and Collaboration
Work directly with Client stakeholders to gather requirements, run working sessions, demo progress, and manage expectations
Translate business problems into scoped, buildable AI use cases with clear success metrics
Train Client users and administrators on the solutions you build and support adoption after go-live
Contribute reusable patterns, accelerators, and documentation to Collectiv's AI practice
Eligibility for this engagement
This engagement requires US citizenship under the client's contract terms. This is a condition of the specific client project, not a Collectiv policy; Collectiv regularly hires non-US citizens and people based outside the US for other roles.
You must be physically located in the United States for the duration of the engagement.
If you do not meet these two conditions, please still apply: we will keep your application active for AI Engineer roles that do not carry this requirement and contact you directly when one opens.
Required Qualifications
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 (storage, compute, identity, networking)
Ability to work independently in a Client-facing consulting role
Preferred Qualifications
Experience with Microsoft Agent Framework, Semantic Kernel, or AutoGen
Experience with Power Platform, Dataverse, and Power Automate
Experience with Microsoft Fabric, Databricks, or Power BI
Experience with LLMOps practices including evaluation frameworks, prompt management, and model monitoring
Familiarity with security, privacy, and compliance considerations for AI in regulated industries
Consulting experience across multiple Clients or industries
Relevant certifications such as Azure AI Engineer Associate, Copilot Studio or Power Platform certifications, or Fabric (DP-600, DP-700)
What Success Looks Like in This Role
AI solutions you build reach production and are used by real people, not just demoed
Clients trust you as the engineer who knows how to make Copilot and Foundry work in their environment
Your solutions are measured, documented, secure, and supportable after handoff
You contribute patterns and accelerators that make Collectiv's next AI engagement faster
Why Collectiv
Join Collectiv for a rewarding career in a fully remote work environment with quarterly in-person team Experiences and competitive compensation. We provide a clear growth trajectory with professional development opportunities and a top-shelf benefits package. Enjoy unlimited time off and 100% covered health insurance, encompassing medical, dental, and vision plans for you and your family. Our comprehensive offerings, from a competitive 401(k) with a 4% match to educational assistance, tech stipend, and discounts on various goods and services, demonstrate our commitment to your well-being and success.
Collectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning, and AI wi...

About Collectiv

Data Infrastructure and Analytics · 51-200 employees · headquartered in Chicago, Illinois · founded 2016