
Remote opportunity at
CollectivAI Engineer, Forward Deployed (Copilot and Azure AI Foundry)
Collectiv operates as a boutique consulting and strategy firm focused on AI, planning, and analytics leveraging the Microsoft data stack. The organization seeks an AI Engineer,…
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About This Role
Collectiv operates as a boutique consulting and strategy firm focused on AI, planning, and analytics leveraging the Microsoft data stack. The organization seeks an AI Engineer, Forward Deployed (Copilot and Azure AI Foundry) to function as a hands-on individual contributor within delivery teams. This remote position involves collaborating with business and IT stakeholders to design, develop, and deploy production-ready artificial intelligence solutions. The person in this role will build custom…
Job Description
Collectiv operates as a boutique consulting and strategy firm focused on AI, planning, and analytics leveraging the Microsoft data stack. The organization seeks an AI Engineer, Forward Deployed (Copilot and Azure AI Foundry) to function as a hands-on individual contributor within delivery teams. This remote position involves collaborating with business and IT stakeholders to design, develop, and deploy production-ready artificial intelligence solutions.
The person in this role will build custom applications using Microsoft 365 Copilot, Copilot Studio, and Azure AI Foundry. Responsibilities include writing code, configuring intelligent agents, connecting enterprise data, establishing retrieval-augmented generation pipelines, and ensuring applications meet production standards for security and performance. Candidates will also consult directly with clients, translate business requirements into technical deliverables, and contribute reusable patterns to the internal practice.
Responsibilities
- Build declarative agents, plugins, and connectors to extend Microsoft 365 Copilot using client workflows and data
- Develop autonomous agents, topics, and actions inside Copilot Studio for business processes
- Connect Copilot systems to Microsoft Graph, SharePoint, Teams, Dataverse, and line-of-business applications
- Construct custom AI applications and agents within Azure AI Foundry for specialized use cases
- Select and configure models from the Foundry catalog while balancing cost, quality, and latency trade-offs
- Implement agentic workflows featuring tool calling, multi-step orchestration, and human-in-the-loop controls
- Create end-to-end retrieval-augmented generation pipelines that handle ingestion, chunking, vector search, and grounding
- Establish evaluation sets, test harnesses, logging, monitoring, and tracing mechanisms for deployed agents
- Partner with client stakeholders to gather requirements, demo progress, and manage project scope
Requirements
- Possess a Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or demonstrate equivalent experience
- Have at least 4 years of professional background in software engineering, data engineering, or Microsoft 365 and Power Platform development
- Accumulate a minimum of 1 year of hands-on experience building and deploying generative AI or LLM-powered solutions in production or client settings
- Demonstrate hands-on familiarity with Microsoft 365 Copilot extensibility, Copilot Studio, Azure AI Foundry, or Azure OpenAI
- Show practical experience developing retrieval-augmented generation solutions with Azure AI Search
- Exhibit strong programming skills in Python or C#
- Maintain working knowledge of Azure services including storage, compute, identity, and networking
- Demonstrate the ability to operate independently in a client-facing consulting capacity
Qualifications
- Familiarity with Semantic Kernel, Microsoft Agent Framework, or AutoGen
- Experience utilizing Power Platform, Dataverse, and Power Automate
- Background working with Microsoft Fabric, Databricks, or Power BI
- Knowledge of LLMOps practices covering evaluation frameworks, model monitoring, and prompt management
- Understanding of privacy, security, and compliance regulations for AI in regulated industries
- Prior consulting experience across multiple industries or clients
- Relevant certifications such as Azure AI Engineer Associate, Copilot Studio or Power Platform credentials, or Fabric certifications including DP-600 and DP-700
Core Skills
Benefits
- Fully remote work arrangement featuring quarterly in-person team experiences
- Competitive compensation paired with professional development opportunities and a clear growth trajectory
- Unlimited paid time off
- Health insurance covering medical, dental, and vision plans fully paid for employees and their families
- Competitive 401(k) retirement plan with a 4% match
- Educational assistance and tech stipends
- Discounts on a variety of goods and services
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, this role is fully remote with quarterly in-person team experiences.
What is the employment type?
The posting specifies that this is a full-time, individual contributor role.
What salary does Collectiv offer for this role?
The job posting does not specify a salary.
What are the primary technical requirements?
Applicants must have a relevant bachelor's degree or equivalent experience, at least 4 years of software or data engineering background, and a minimum of 1 year of hands-on experience deploying generative AI solutions.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.