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Argentina Region ( Remote work) Requirements CompQsoft Digital is a leading next-generation AI Microsoft transformation partner focused on helping enterprises reinvent customer engagement and reshape ...
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Practice Lead, AI Location: West Chester, OH (REMOTE) Is this position eligible for bonus or ... Map customer use cases to the appropriate Microsoft AI technology stack * Identify workflow ...
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AI Architect
$64.50 - $85/hr
AI Architect CoPilot SME Location: 100% Remote (EST Hours) Duration: 9-12 Month Contract to Hire ... on CoPilot AI, so understands the Microsoft ecosystem and how it relates to AI. Core ...
AI Architect
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... AI and Machine Learning Post Graduate Program, developed in collaboration with Microsoft. This ... This is a part-time, remote role. All sessions are conducted live in a fully online, interactive ...
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Quick apply
Sr. AI Governance Engineer
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Microsoft Fabric Solution Architect
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Remote Microsoft Ai information
See salary details
$83.5K - $91.5K
5% of jobs
$91.5K - $99.4K
6% of jobs
$99.4K - $107.4K
12% of jobs
$108.6K is the 25th percentile. Wages below this are outliers.
$107.4K - $115.3K
12% of jobs
$115.3K - $123.3K
14% of jobs
The median wage is $124.1K / yr.
$123.3K - $131.2K
15% of jobs
$131.2K - $139.2K
11% of jobs
$140.2K is the 75th percentile. Wages above this are outliers.
$139.2K - $147.1K
11% of jobs
$147.1K - $155.1K
7% of jobs
$155.1K - $163K
4% of jobs
$163K - $171K
4% of jobs
$83.5K
$127K
$171K
How much do remote microsoft ai jobs pay per year?
What is a Remote Microsoft AI professional?
What is the difference between Remote Microsoft Ai vs Remote Data Scientist?
| Aspect | Remote Microsoft Ai | Remote Data Scientist |
|---|---|---|
| Required Credentials | Microsoft certifications, AI/ML degrees | Statistics, Data analysis, Python/R skills |
| Work Environment | Tech companies, AI-focused teams | Research labs, analytics departments |
| Industry Usage | Technology, software development | Finance, healthcare, marketing |
| Common Search/Comparison | Yes | Yes |
Remote Microsoft Ai professionals focus on developing AI solutions using Microsoft tools and platforms, often requiring certifications like Azure AI Engineer. Remote Data Scientists analyze data to extract insights, typically with skills in statistics and programming. While both roles involve data and AI, Microsoft Ai roles are more platform-specific, whereas Data Scientists have broader analytical responsibilities.
What are the key skills and qualifications needed to thrive as a Remote Microsoft AI Specialist, and why are they important?
How does a Remote Microsoft AI specialist typically collaborate with cross-functional teams, and what tools are commonly used to ensure effective communication and project management?

Full-time
Retirement
Posted 8 days ago
Sarnova rating
7.7
Based on 10 frontline employees who took The Breakroom Quiz
Job description
We're building the future of intelligent systems-and we're looking for an AI and Automation Engineer to help lead the charge. In this role, you'll design, build, and deploy scalable automation solutions that drive efficiency, reduce manual work, and accelerate innovation across the organization.
You'll work closely with teammates in Information Technology as well as business stakeholders to identify automation opportunities and turn them into reliable, AI-driven workflows. From robotic process automation (RPA) to workflow orchestration and generative AI, your work will have a measurable impact in helping to shape Sarnova's future.
Essential Duties and Responsibilities:
- Design, develop, deploy, and support AI agents using Azure AI Foundry and Microsoft Copilot Studio.
- Build conversational, autonomous, and multi-agent solutions using the Foundry SDK, Agent Framework, Responses API, Copilot Studio, and related Microsoft AI technologies.
- Design prompt-based and hosted agents, selecting and optimizing models based on business requirements, performance, quality, and cost.
- Integrate AI solutions with enterprise data and business systems through APIs, MCP, Power Platform, Dataverse, Dynamics 365, Azure Functions, custom services, and external platforms.
- Implement Retrieval-Augmented Generation (RAG) and knowledge-grounding solutions using Azure AI Search, Foundry IQ, and enterprise knowledge sources.
- Design and orchestrate multi-agent workflows, Agent-to-Agent (A2A) coordination, routing, and human-in-the-loop processes.
- Develop scalable, reusable, secure, and enterprise-ready AI automation solutions.
- Monitor, troubleshoot, evaluate, and continuously improve AI solution quality, reliability, safety, and performance.
- Create technical documentation, testing assets, operational playbooks, and implementation standards.
- Collaborate with business and technical stakeholders to identify, prioritize, and deliver AI-driven solutions that provide measurable business value.
- Stay current with emerging AI technologies and advancements across Azure AI Foundry, Copilot Studio, Power Platform, and the Microsoft AI ecosystem.
Skills/Experience Required:
- 2+ years of experience in AI development, automation engineering, software development, or a related field.
- Hands-on experience designing, developing, deploying, and supporting AI agents using Azure AI Foundry and Microsoft Copilot Studio.
- Experience with agent development and orchestration, including prompt-based and hosted agents, Foundry SDK, Agent Framework, Responses API, multi-agent workflows, and agent integrations.
- Experience implementing Retrieval-Augmented Generation (RAG) and knowledge-grounding solutions using Azure AI Search, vector search, embeddings, and citation-based responses.
- Experience building conversational and autonomous agents in Copilot Studio, including generative answers, knowledge grounding, and workflow automation.
- Experience integrating AI solutions with Power Platform, Dataverse, Dynamics 365, APIs, Azure Functions, microservices, and enterprise applications.
- Proficiency in Python (preferred), C#, and/or JavaScript/TypeScript, along with modern development tools such as VS Code, Git, Azure DevOps, and Azure CLI.
- Knowledge of Model Context Protocol (MCP), custom function tools, external integrations, and API-driven architectures.
- Strong understanding of leading LLMs, prompt engineering, context management, conversational memory, model evaluation, and AI solution optimization.
- Experience with Azure services including Azure Functions, Azure AI Search, Storage, Key Vault, Microsoft Entra ID, and microservice-based solutions.
- Working knowledge of SQL Server, data integration concepts, SharePoint, and Dynamics 365 Finance & Operations and CRM applications.
- Familiarity with observability, monitoring, application logging, security, Responsible AI practices, governance, and CI/CD deployment processes.
- Experience delivering automation solutions using Power Automate, UiPath, or similar workflow and automation platforms.
- Strong analytical, communication, and stakeholder collaboration skills with the ability to translate business requirements into scalable technical solutions
Preferred Qualifications:
- Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Technology, or a related field; equivalent practical experience will also be considered.
- Microsoft certifications related to Azure AI, AI Engineering, Power Platform, Copilot Studio, or Agent Development (e.g., Azure AI Engineer Associate or successor certifications).
- Experience in healthcare, regulated, distribution, manufacturing, or other compliance-focused industries with an understanding of security, privacy, and governance requirements.
Experience with one or more of the following advanced Microsoft AI capabilities is highly desirable:
- Deploying and managing hosted agents in Azure AI Foundry, including managed runtimes, identity, observability, and enterprise governance.
- Designing multi-agent architectures, Agent-to-Agent (A2A) coordination, autonomous workflows, and human-in-the-loop processes.
- Developing and maintaining MCP servers, MCP tool catalogs, reusable agent tools, and custom function integrations.
- Leveraging Foundry IQ, Azure AI Search, and advanced RAG architectures for enterprise knowledge grounding and retrieval.
- Utilizing advanced Azure AI Foundry capabilities such as built-in agent tools, managed memory, evaluation frameworks, observability, guardrails, and governance controls.
- Publishing and managing agents across Microsoft Teams, Microsoft 365 Copilot, Dynamics 365, and custom web experiences.
- Implementing enterprise AI governance, DLP policies, ALM strategies, environment management, and Responsible AI frameworks.
- Experience integrating AI solutions with Microsoft Fabric, Power BI, advanced analytics platforms, or enterprise data ecosystems.
- Knowledge of Microsoft Entra Agent ID, managed identities, enterprise authentication, and secure agent access patterns.
Physical Requirements:
- Sit, walk, stand, use hands to manipulate, handle, feel, and control items or equipment
- Reach with hands and arms
- Talk and hear
- See and be able to read, write, and interpret text
- Employee may use computer, phone, copier and other office equipment in the course of a day
- Occasionally lift and move objects weighing up to 10 pounds
- Employee may be required to travel for business purposes
- When working remotely, ability to secure confidential information
- When working remotely, perform all duties in a professional environment free of noise or anything that would create a negative customer experience
Work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential function of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Continuous is defined as 6-8 hours, frequently is defined as 3-6 hours, and occasionally is defined as up to 3 hours.
Work Schedule: Employee will be required to work a minimum of forty (40) hours of per week or as many hours as it may take to perform above job duties. Schedule may vary based on business demands and will require a combination of office hours as well as work performed after hours and/or weekends at times.
Sarnova is an Equal Opportunity Employer. We offer a competitive salary, commensurate with experience, along with a comprehensive benefits package, including 401(k) Plan. EEO/M/F/Veterans/Disabled. Our mission is to be the best partner for those who save and improve patients' lives. Excellence in delivering upon our mission is dependent upon having a diverse team that is empowered to bring their full, authentic self to work each day. We strive to create a workplace that reflects the communities we serve, and we are passionate
About Sarnova
Sourced by ZipRecruiter
Industry
Health care and social assistance
Company size
501 - 1,000 Employees
Headquarters location
Dublin, OH, US
Year founded
2008