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Copilot Studio Jobs in Virginia (NOW HIRING)

WorkNovas LLC

Machine Learning Engineer

Richmond, VA · On-site

In this role, you will work at the intersection of LLMs, autonomous agents, retrieval-augmented generation (RAG), and enterprise-scale systems, leveraging Azure AI Foundry, Copilot Studio, and modern ...

CRDF Global

Service Desk Analyst

Arlington, VA · On-site

$30 - $35/hr

The work splits evenly between standard service desk duties (tickets, endpoints, accounts, onboarding) and building agents in Microsoft Copilot Studio and workflows in Power Automate. Schedule ...

CRDF Global

Service Desk Analyst

Arlington, VA · On-site

$30 - $35/hr

The work splits evenly between standard service desk duties (tickets, endpoints, accounts, onboarding) and building agents in Microsoft Copilot Studio and workflows in Power Automate. Schedule ...

Axon

Senior D365 F&O Solutions Analyst

Sterling, VA · Hybrid

Drive AI-first process improvement by designing and deploying agentic workflows using Microsoft Copilot Studio, Power Automate, and MCP integrations that reduce manual effort across finance and ...

Axon

Senior D365 F&O Solutions Analyst

Sterling, VA · On-site

Drive AI-first process improvement by designing and deploying agentic workflows using Microsoft Copilot Studio, Power Automate, and MCP integrations that reduce manual effort across finance and ...

Universal Corporation

AI Specialist

Richmond, VA · On-site

Experience with Microsoft 365 Copilot, Copilot Studio, AI agents, Power Automate, Power Apps, Power BI, or other Microsoft Power Platform technologies. * Familiarity with workflow automation, process ...

Guidehouse

Power Platform Developer

Mclean, VA

Configure AI Builder, Copilot Studio, or Azure AI capabilities to support predictive task modeling, document summarization, and AI-assisted meeting documentation * Support integration of Power BI ...

Guidehouse

Power Platform Developer

Mclean, VA

Configure AI Builder, Copilot Studio, or Azure AI capabilities to support predictive task modeling, document summarization, and AI-assisted meeting documentation * Support integration of Power BI ...

Guidehouse

Power Platform Developer

Mclean, VA · On-site

Configure AI Builder, Copilot Studio, or Azure AI capabilities to support predictive task modeling, document summarization, and AI-assisted meeting documentation * Support integration of Power BI ...

McBride

Power BI Developer

Arlington, VA · Remote

Develop AI-enabled reporting experiences using Copilot Studio and Microsoft Fabric capabilities. Improve reporting performance, governance, and self-service analytics across the business. Work with ...

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Copilot Studio information

What is Copilot Studio?

Copilot Studio is a platform by Microsoft that enables users to build, customize, and deploy AI-powered copilots and chatbots for various business scenarios. It allows both technical and non-technical users to create conversational AI experiences without extensive coding knowledge. Copilot Studio integrates with Microsoft 365 and other services, making it easier to automate processes, answer questions, and enhance productivity. Users can leverage pre-built templates or design custom workflows to meet specific needs.

What are the key skills and qualifications needed to thrive as a Copilot Studio developer?

To thrive as a Copilot Studio Developer, you need a solid background in software development, automation, and familiarity with low-code/no-code platforms, often supported by a degree in computer science or a related field. Proficiency with Microsoft Power Platform, Copilot Studio tools, and integration with APIs and cloud services is typically required. Strong problem-solving, collaboration, and communication skills help developers translate business needs into effective automated solutions. These skills are crucial for building scalable, user-friendly applications that streamline processes and add value within organizations.

What are the main challenges faced by professionals working in Copilot Studio roles, and how can they overcome them?

Professionals working in Copilot Studio roles often encounter challenges such as adapting to rapidly evolving AI technologies and integrating them seamlessly with existing workflows. Staying up-to-date with frequent updates, understanding user requirements, and ensuring smooth collaboration with developers, designers, and end-users are essential for success. To overcome these challenges, it's important to engage in continuous learning, participate in cross-functional meetings, and leverage available training resources to stay current with platform features and best practices.

What are popular job titles related to Copilot Studio jobs in Virginia?

For Copilot Studio jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Copilot Studio jobs in Virginia look for?

The top searched job categories for Copilot Studio jobs in Virginia are:

What cities in Virginia are hiring for Copilot Studio jobs?

Cities in Virginia with the most Copilot Studio job openings:

Copilot Studio jobs near you
Infographic showing various Copilot Studio job openings in Virginia as of August 2026, with employment types broken down into 32% Full Time, 65% Part Time, and 3% Contract. Highlights an 35% Physical, 1% Hybrid, and 64% Remote job distribution.

Machine Learning Engineer

WorkNovas LLC

Richmond, VA • On-site

Contractor

Re-posted 5 days ago

Job description

Machine Learning Engineer  

Richmond, Virginia (5 Days Onsite) need local within commute

About the Role
We are seeking a Machine Learning Engineer with expertise in agentic AI systems to design, build, and deploy next-generation AI solutions. In this role, you will work at the intersection of LLMs, autonomous agents, retrieval-augmented generation (RAG), and enterprise-scale systems, leveraging Azure AI Foundry, Copilot Studio, and modern orchestration frameworks.
You will collaborate closely with product managers, architects, and application teams to deliver intelligent, production-grade AI agents that integrate seamlessly with business workflows and enterprise data.
Key Responsibilities
Design and implement agentic AI systems capable of planning, tool use, memory, and multi-step reasoning
Build and deploy AI solutions using Azure AI Foundry and Copilot Studio
Develop RAG pipelines integrating structured and unstructured enterprise data
Implement and optimize vector databases for semantic search and long-term agent memory
Orchestrate LLM-based agents using frameworks such as LangChain (or equivalent)
Develop scalable backend services and APIs using Python
Integrate AI agents with enterprise tools, APIs, and workflows
Evaluate, monitor, and optimize agent performance, reliability, and cost
Apply responsible AI principles including security, privacy, and governance
Stay current with advancements in LLMs, agent architectures, and Azure AI services
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
5+ years of experience in machine learning, AI engineering, or applied ML
Strong proficiency in Python for ML and backend development
Hands-on experience building LLM-based applications
Practical experience with agentic AI patterns (tool calling, planning, memory, reflection)
Experience with LangChain or similar agent orchestration frameworks
Solid understanding of RAG architectures
Experience with vector databases (e.g., Azure AI Search, Pinecone, etc.)
Familiarity with Azure cloud services and enterprise-grade deployments
Hands-on experience with MCP and/or A2A agent communication frameworks
Preferred Qualifications
Direct experience with Azure AI Foundry and Copilot Studio
Experience integrating AI agents into enterprise workflows or SaaS platforms
Knowledge of prompt engineering, evaluation frameworks, and guardrails
Experience with CI/CD, MLOps, or AI observability
Understanding of security, identity, and compliance in enterprise AI systems
Nice-to-Have
Contributions to AI prototypes, internal platforms, or open-source projects
Experience moving AI solutions from prototype to production
Strong communication skills and ability to explain complex AI systems to non-experts