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Remote Microsoft Ai Jobs (NOW HIRING)

Connection

Principal AI Solutions Advisor

Concord, NH · On-site +1

$138K - $179K/yr

This is a remote or hybrid opportunity preferably based near our corporate offices in Merrimack, NH ... Advises customers on Microsoft AI, automation, and data platforms, including Microsoft 365 Copilot ...

CONNECTION

Principal AI Solutions Advisor

Merrimack, NH · On-site +1

This is a remote or hybrid opportunity preferably based near our corporate offices in Merrimack, NH ... Advises customers on Microsoft AI, automation, and data platforms, including Microsoft 365 Copilot ...

Connection

Principal AI Solutions Advisor

Concord, NH · Remote

This is a remote or hybrid opportunity preferably based near our corporate offices in Merrimack, NH ... Advises customers on Microsoft AI, automation, and data platforms, including Microsoft 365 Copilot ...

CONNECTION

Principal AI Solutions Advisor

Merrimack, NH · On-site +1

This is a remote or hybrid opportunity preferably based near our corporate offices in Merrimack, NH ... Advises customers on Microsoft AI, automation, and data platforms, including Microsoft 365 Copilot ...

HSO Group B.V.

Microsoft AI licenties en tokens. Wij sponsoren je om te experimenteren met Copilot, Azure OpenAI ... remote; * Opleidingsbudget, studiedagen en toegang tot onze Academy en GoodHabitz voor jouw ...

HSO Group B.V.

En wil je jouw carriere starten bij een internationale Microsoft-partner waar innovatie en ... als remote; * Toegang tot onze Academy en GoodHabitz voor jouw leerexpeditie; * Dagelijkse ...

Humana

Senior AI Implementation Lead

Tampa, FL · On-site +1

Azure OpenAI and Microsoft AI ecosystem experience * Experience implementing AI solutions on Azure ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

Senior AI Implementation Lead

Nashville, TN · On-site +1

Azure OpenAI and Microsoft AI ecosystem experience * Experience implementing AI solutions on Azure ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

Senior AI Implementation Lead

Chicago, IL · On-site +1

Azure OpenAI and Microsoft AI ecosystem experience * Experience implementing AI solutions on Azure ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

Senior AI Implementation Lead

Washington, DC · On-site +1

Azure OpenAI and Microsoft AI ecosystem experience * Experience implementing AI solutions on Azure ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

Senior AI Implementation Lead

Chicago, IL · On-site +1

Azure OpenAI and Microsoft AI ecosystem experience * Experience implementing AI solutions on Azure ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

Senior AI Implementation Lead

Washington, DC · On-site +1

Azure OpenAI and Microsoft AI ecosystem experience * Experience implementing AI solutions on Azure ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Humana

Senior AI Implementation Lead

Tampa, FL · On-site +1

Azure OpenAI and Microsoft AI ecosystem experience * Experience implementing AI solutions on Azure ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

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How much do remote microsoft ai jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote microsoft ai in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a Remote Microsoft AI?

A Remote Microsoft AI professional is someone who works with Microsoft's artificial intelligence tools and platforms, such as Azure AI, Power Platform, and Microsoft Cognitive Services, from a location outside of a traditional office. They may develop, deploy, and maintain AI-powered solutions, assist organizations in integrating AI into their workflows, or provide technical support for AI products. These roles often require expertise in AI, cloud computing, and programming, and allow for flexible work arrangements. Remote Microsoft AI professionals can work for Microsoft itself, its partners, or any business utilizing Microsoft's AI technologies.

What is the difference between Remote Microsoft Ai vs Remote Data Scientist?

AspectRemote Microsoft AiRemote Data Scientist
Required CredentialsMicrosoft certifications, AI/ML degreesStatistics, Data analysis, Python/R skills
Work EnvironmentTech companies, AI-focused teamsResearch labs, analytics departments
Industry UsageTechnology, software developmentFinance, healthcare, marketing
Common Search/ComparisonYesYes

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?

To thrive as a Remote Microsoft AI Specialist, you need a solid background in computer science, machine learning, and data analytics, often supported by relevant degrees or certifications such as Microsoft Certified: Azure AI Engineer Associate. Proficiency with Microsoft Azure AI services, programming languages like Python, and tools such as Visual Studio Code and Power BI is essential. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for collaborating virtually and delivering solutions. These skills ensure the ability to design, implement, and support AI-driven applications that meet business needs in a remote work environment.

How does a Remote Microsoft AI typically collaborate with cross-functional teams, and what tools are commonly used to ensure effective communication and project management?

A Remote Microsoft AI specialist often works closely with software developers, data engineers, product managers, and business analysts to design and deploy AI solutions. Collaboration is facilitated through tools like Microsoft Teams, Azure DevOps, and SharePoint, allowing for seamless communication, code sharing, and project tracking. Regular virtual meetings, sprint planning sessions, and shared documentation ensure everyone stays aligned despite physical distance. Building strong digital communication skills and being proactive about updates are essential for success in this remote, collaborative environment.
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Remote Microsoft Ai jobs near you
Infographic showing various Remote Microsoft Ai job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Chatbot Developer - Conversational AI

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Re-posted 4 days ago

Job description

Role: Chatbot Developer - Conversational AI

Location: Remote (US) EST hours

Duration: 3 months

  

Role Overview
We are seeking a talented and passionate Conversational AI Developer to play a pivotal role in managing current day chatbot implantations and designing, building, and optimizing our next-generation conversational experiences. In this role, you will bridge the gap between classical NLU systems and modern Generative AI orchestrations. You will be responsible for maintaining our robust enterprise foundations while actively driving our migration strategy toward autonomous agent frameworks.
 
The ideal candidate possesses a deep technical background in the Microsoft conversational ecosystem, a strong understanding of enterprise integration layers, and a passion for delivering seamless, human-like, yet transparent user experiences.
 
Key Responsibilities
  • End-to-End Development: Drive the full lifecycle development (from conversational design to production deployment) of scalable chatbots, virtual assistants, and AI agents.
  • Architecture Migration: Maintain and optimize our current Azure Bot Framework SDK v4 stack while actively participating in the architectural migration toward Microsoft Foundry and Agents 365 Azure SDK.
  • Enterprise Integration: Design and implement robust API integrations using MuleSoft as the central enterprise service bus to orchestrate data exchange between conversational front ends and core backend systems, including PeopleSoft and Salesforce.
  • Omnichannel Dialog Management: Author and manage rich, dynamic conversational interfaces using Microsoft Dynamics Adaptive Cards, Knowledge Management systems, and Automation Flows across web, mobile, and messaging channels.
  • Live Chat and Case Management: Build seamless escalation protocols, including live agent handoffs to Salesforce Live Chat and automated ticket routing via Salesforce Case Management APIs.
  • NLU and LLM Orchestration: Integrate Hybrid AI strategies by combining classical NLU (Azure Conversational Language Understanding/CLU) with Large Language Models (Azure OpenAI/GPT) for intelligent intent routing, fallback handling, and contextual content generation.
  • Performance Optimization: Analyze conversation logs, containment rates, and intent accuracy metrics using data visualization tools to continuously optimize conversational flows and minimize hallucinations.
  • Cross-Functional Collaboration: Partner closely with Product Managers, UX Designers, and business stakeholders to translate complex business logic into intuitive user stories and turn technical constraints into delightful user experiences.
 
Technical & Professional Qualifications
Required Experience
  • 3+ years of dedicated experience in software development with a specialized focus on Conversational AI, NLP/NLU, or LLM agent development.
  • Microsoft Bot Stack Expertise: Deep, hands-on proficiency with Azure Bot Framework SDK v4 (including Waterfall Dialogs, custom middleware, and state management) alongside experience or strong theoretical knowledge of Copilot Studio / Agents 365.
  • Core Backend Skills: Strong programming fundamentals with advanced proficiency in C#, .NET, and JavaScript, combined with frontend capabilities (HTML/CSS) for custom web-chat styling and Adaptive Card rendering.
  • Enterprise Systems Integration: Direct experience working with MuleSoft layers to pull/push data from legacy enterprise platforms like PeopleSoft and CRM systems like Salesforce.
 
Preferred Qualifications
  • Data and State Management: Experience configuring and querying Azure Cosmos DB for storing conversation state, user context, and telemetry logs.
  • Analytics Driven: Familiarity utilizing Power BI or Azure Application Insights to analyze drop-off points, intent confusion matrices, and chatbot containment metrics.
  • Modern DevOps: Experience defining and maintaining CI/CD pipelines for conversational assets across Dev, Test, and Production environments.
  • Industry Context: Experience implementing conversational solutions within Higher Education or complex, multi-stakeholder enterprise environments is a plus.
  • Soft Skills: Exceptional communication skills with the ability to articulate technical AI constraints to non-technical business stakeholders.
 
Benefits & Culture
  • Cutting-Edge Innovation: Be part of a forward-thinking team actively reshaping the digital student and staff experience through advanced AI and Agentic workflows.
  • Impact-Driven Work: Build tools that directly solve user pain points, handling high-volume transactions with immediate real-world impact.
  • Professional Growth: Work in a fast-paced environment that actively supports upskilling in Generative AI, LLM orchestration, and next-generation Microsoft AI technologies.