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Azure Ai Engineer Remote Jobs in Washington (NOW HIRING)

Platinum Technologies

AI Engineer

Washington, DC · On-site +1

This role is remote/hybrid in the VA/MD/DC area. There may be occasional travel to client site in ... Experience working across multiple cloud providers including Azure, AWS, and/or Google Cloud ...

TEKsystems

Practice Architect-AI/ML

Hanover, MD · Remote

$136K - $204K/yr

Azure AI Practice Architect 1 (Full-time, Remote) Think of TEKsystems Global Services (TGS) as the ... Azure Platform & DevOps Support • Support the design and implementation of client DevOps ...

ManTech

AI Engineer

Washington, DC · On-site +1

$141K - $236K/yr

... Azure ecosystem (e.g., Azure OpenAI, Azure Synapse, Databricks, or Azure Security Center ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Global Alliant Inc

AI Engineer

Rockville, MD · On-site +1

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Experience with cloud platforms (AWS, Azure, or GCP) * Knowledge of HIPAA, healthcare data ...

Global Alliant Inc

AI Engineer

Rockville, MD · Remote

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Experience with cloud platforms (AWS, Azure, or GCP) * Knowledge of HIPAA, healthcare data ...

Global Alliant Inc

AI Engineer

Rockville, MD · Remote

$140K/yr

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Experience with cloud platforms (AWS, Azure, or GCP) * Knowledge of HIPAA, healthcare data ...

@Orchard

AI Engineer - Gen AI & NLP

Washington, DC · Remote

Artificial Intelligence AI Engineer - Gen AI, NLP Talent Pool for upcoming assignments Remote, Work ... Experience with cloud environments (Azure, AWS, GCP) * API development and system integration

@Orchard

AI Engineer - Gen AI & NLP

Washington, DC · Remote

$120K - $230K/yr

Artificial Intelligence AI Engineer - Gen AI, NLP Talent Pool for upcoming assignments Remote, Work ... Experience with cloud environments (Azure, AWS, GCP) * API development and system integration

Goldman Edwards, Inc.

Be Seen First

AI Foundry Engineer (Remote)

Washington, DC · Remote

AI Foundry Engineer (US - Remote) Position summary We are seeking a highly skilled AI Foundry ... § AZURE / Oracle § Minimum of one-year in-depth, hands-on experience with one or more QA ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

AWS Certifed Machine Learning - Specialty AWS Certifed Solutions Architect General AI/ML Certifcations (TensorFlow Developer, Azure AI Engineer UiPath AI Center Experience (nice to have) Eucation ...

CALIBRE

Cloud/DevOps Engineer

Washington, DC · On-site +1

$59.50 - $81.50/hr

... on Azure cloud engineering and DevOps support for AI-enabled applications and data products ... This position will be on-site, hybrid, or remote, at the discretion of the customer. The role will ...

New

Booz Allen Hamilton, Inc.

AI Engineer

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0241255 Location: Arlington,VA,US Share job via: Share AI Engineer ... Experience with cloud platforms including AWS, Azure, or GCP and their AI or ML services

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Azure Ai Engineer Remote information

What are the key skills and qualifications needed to thrive as an Azure AI Engineer (Remote), and why are they important?

To thrive as an Azure AI Engineer (Remote), you need expertise in AI/ML concepts, programming languages like Python, and experience with cloud platforms, especially Microsoft Azure, often supported by a degree in computer science or a related field. Familiarity with Azure AI services (such as Azure Machine Learning, Cognitive Services), DevOps tools, and certifications like Microsoft Certified: Azure AI Engineer Associate are typically required. Strong problem-solving, communication, and collaboration skills are essential for remote teamwork and project delivery. These abilities ensure effective design, deployment, and management of AI solutions that meet business objectives in distributed environments.

How do Azure AI Engineers typically collaborate with cross-functional teams in a remote setting?

As an Azure AI Engineer working remotely, you'll frequently collaborate with data scientists, software developers, and project managers through virtual meetings and cloud-based project management tools. Effective communication is crucial, as you'll need to translate complex AI solutions into actionable insights for both technical and non-technical stakeholders. You may participate in daily stand-ups, code reviews, and collaborative design sessions to ensure alignment on project goals and integration of AI models into larger cloud architectures. Remote work often requires strong self-management skills and proactive sharing of progress to maintain team cohesion.

What is the difference between Azure Ai Engineer Remote vs Data Scientist Remote?

AspectAzure Ai Engineer RemoteData Scientist Remote
Required CredentialsAzure certifications, AI/ML knowledgeStatistics, programming, data analysis skills
Work EnvironmentCloud platforms, AI development toolsData analysis, modeling, research environments
Employer & Industry UsageTech companies, AI-focused firmsResearch institutions, tech companies, finance
Search & Comparison IntentUnderstanding role differences, job requirementsCareer options, skill overlaps

Azure Ai Engineer Remote focuses on developing and deploying AI solutions using Azure cloud services, requiring certifications like Azure AI Engineer Associate. Data Scientist Remote emphasizes analyzing data, building models, and deriving insights, often with statistical and programming skills. While both roles involve data and AI, Azure Ai Engineers are more cloud and deployment-oriented, whereas Data Scientists focus on analysis and research.

What are Azure AI Engineers?

Azure AI Engineers are professionals who design, build, and deploy artificial intelligence solutions using Microsoft Azure's suite of AI services. They work with data scientists, developers, and stakeholders to integrate AI capabilities such as computer vision, natural language processing, and machine learning into cloud-based applications. Their responsibilities often include managing Azure AI resources, optimizing models for performance and scalability, and ensuring solutions align with business needs, all while working remotely.
What are the most commonly searched types of Azure Ai Engineer jobs in Washington? The most popular types of Azure Ai Engineer jobs in Washington are:
What are popular job titles related to Azure Ai Engineer Remote jobs in Washington? For Azure Ai Engineer Remote jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Azure Ai Engineer Remote jobs in Washington look for? The top searched job categories for Azure Ai Engineer Remote jobs in Washington are:
What cities in Washington are hiring for Azure Ai Engineer Remote jobs? Cities in Washington with the most Azure Ai Engineer Remote job openings:
Azure Ai Engineer Remote jobs near you

Senior Azure AI Foundry Engineer

Interon IT Solutions

Chantilly, VA • Remote

$61.50 - $79.75/hr

Contractor

Posted 6 days ago

Job description

#W2 Role
 
Senior Azure AI Foundry Engineer
Location: Remote
Employment Type: W2 Contract
Experience: 8+ Years
 
Job Description
We are seeking an experienced Azure AI Foundry Engineer to design, develop, and deploy enterprise-grade generative AI solutions on the Microsoft Azure platform. The ideal candidate should have strong experience with Azure AI Foundry, Azure OpenAI, Retrieval-Augmented Generation, AI agents, Python, and cloud-native application development.
 
Key Responsibilities
Design and develop generative AI applications using Azure AI Foundry and Azure OpenAI.
Build Retrieval-Augmented Generation solutions using Azure AI Search, vector databases, embeddings, and enterprise data sources.
Develop AI agents capable of interacting with APIs, databases, documents, and other business systems.
Design prompt workflows, system instructions, tool-calling processes, and multi-step agent workflows.
Develop backend AI services and APIs using Python, FastAPI, Flask, or similar frameworks.
Integrate structured and unstructured data from Azure Data Lake, Blob Storage, SQL databases, SharePoint, and enterprise applications.
Implement document ingestion, chunking, embedding, indexing, retrieval, and response-generation pipelines.
Evaluate AI applications for response accuracy, relevance, groundedness, safety, latency, and overall performance.
Implement responsible AI controls, content filtering, prompt-injection protection, access controls, and data-security standards.
Monitor AI applications using Azure Monitor, Application Insights, logging, tracing, and Foundry observability capabilities.
Deploy and manage AI solutions using Azure Functions, Azure App Service, Azure Container Apps, AKS, or similar Azure services.
Build automated CI/CD pipelines using Azure DevOps or GitHub Actions.
Collaborate with data engineers, data scientists, architects, business analysts, and product teams.
Troubleshoot issues related to model responses, data retrieval, integrations, application performance, and cloud deployment.
Prepare technical design documents, architecture diagrams, deployment guides, and operational documentation.
 
Required Skills
8+ years of overall software engineering, data engineering, cloud, or AI development experience.
Strong hands-on experience with Azure AI Foundry or Microsoft Foundry.
Experience with Azure OpenAI models, embeddings, chat completions, and model deployments.
Strong experience developing RAG-based applications.
Hands-on experience with Azure AI Search, vector search, semantic search, and hybrid search.
Strong programming experience with Python.
Experience developing REST APIs using FastAPI, Flask, or similar frameworks.
Experience with prompt engineering, function calling, tool calling, and AI agent development.
Understanding of LLM evaluation, hallucination reduction, groundedness, responsible AI, and content safety.
Experience with Azure services such as Blob Storage, Data Lake, Key Vault, Functions, App Service, Container Apps, AKS, and Application Insights.
Experience working with SQL, NoSQL, document databases, or vector databases.
Experience with Git, Azure DevOps, GitHub Actions, Docker, and CI/CD processes.
Strong communication, analytical, troubleshooting, and documentation skills.
 
Preferred Skills
Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, or Microsoft Agent Framework.
Experience with Azure Machine Learning, Microsoft Fabric, or Azure Data Factory.
Experience building conversational AI, enterprise copilots, or intelligent document-processing solutions.
Knowledge of model evaluation, red-team testing, prompt-flow testing, and AI application monitoring.
Experience implementing Microsoft Entra ID, managed identities, RBAC, private endpoints, and enterprise security controls.
Microsoft Azure AI Engineer or Azure Solutions Architect certification is preferred.