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Azure Ai Engineer Remote Jobs in Baton Rouge, LA

Kobie Marketing

AI Engineer

Baton Rouge, LA · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses ...

Kobie Marketing

AI Engineer

Baton Rouge, LA · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses ...

Resolv.Global

BPO AI Solutions Architect

Baton Rouge, LA · Remote

$64.50 - $85/hr

This is not a traditional software engineering role. We are looking for someone who understands ... Fully remote opportunity with global exposure. Working Hours This role operates within EST working ...

CMGT

Director of Sales and Marketing

Denham Springs, LA · On-site +1

Flexible scheduling and remote work opportunities * Medical, dental, and vision insurance options ... Build and strengthen relationships with developers, builders, real estate professionals, attorneys ...

All JobsAzure Ai Engineer JobsAzure Ai Engineer Remote JobsAzure Ai Engineer Remote Jobs in Baton Rouge, LA

Azure Ai Engineer Remote information

See Baton Rouge, LA salary details

$24

$51

$73

How much do azure ai engineer remote jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for azure ai engineer remote in Baton Rouge, LA is $51.50, according to ZipRecruiter salary data. Most workers in this role earn between $41.54 and $59.81 per hour, depending on experience, location, and employer.

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.
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Azure Ai Engineer Remote jobs near you
AI Solution Architect

AI Solution Architect

Lindsay & Brownell

Baton Rouge, LA • On-site, Remote

$60.50 - $79.75/hr

Full-time

Posted 8 days ago

Job description

Job Description

At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you're starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you'll love from top to bottom - we give you the tools you need to succeed and the autonomy to reach your goals.

EisnerAmper is seeking multiple AI Solution Architects who will serve as lead developers on the EisnerAI Platform, designing and implementing the technical architecture that powers EisnerAmper's intelligent solutions across tax, audit, outsourcing and advisory services. This role is essential to delivering the comprehensive AI platform that will transform how we serve clients and enable our vision of becoming the industry-leading AI-powered professional services firm.

What it Means to Work for EisnerAmper:

  • You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry

  • You will have the flexibility to manage your days in support of our commitment to work/life balance

  • You will join a culture that has received multiple top "Places to Work" awards

    • We believe that great work is accomplished when cultures, ideas and experiences come together to create innovative solutions

    • We understand that embracing our differences is what unites us as a team and strengthens our foundation

    • Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work

What Work You Will be Responsible For:

  • Ensure seamless integration across the platform's Data Management, Governance, AI, Agents and Application layers.

  • Drive model evaluation frameworks and post-training optimization for custom LLMs and AI agents

  • Lead technical development of the EisnerAI Agent Workforce such as TaxPrepBot, ComplianceRiskBot, DocIntake, and M&A Targeting Bot

  • Design agentic frameworks supporting initiation, execution, state management, logging, and error handling

  • Ensure adherence to data governance policies and responsible AI practices

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position now or in the future.

Basic Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field

  • 6+ years of software development experience with 4+ years in AI/ML architecture role

  • 3+ years of hands-on experience with Azure cloud services and enterprise-scale solutions

Preferred or Desired Qualifications

  • Master's degree preferred (Computer Science, AI/ML, or MBA with technical focus)

  • Microsoft Azure AI Foundry: Deep expertise in Azure AI services ecosystem

  • Azure Machine Learning: MLOps, model deployment, and lifecycle management

  • Azure OpenAI Service: GPT models, prompt engineering, and fine-tuning

  • Azure Cognitive Services: Document Intelligence, Language Understanding, and Computer Vision

  • Azure AI Search: Vector search, semantic search, and knowledge mining

  • Azure Databricks: Data engineering and ML model development

  • Programming Languages: Python, C#, JavaScript/TypeScript, SQL

  • AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Transformers

  • Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate

  • DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes

About EisnerAmper:

EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow.

Our clients represent enterprises of every form, ranging from sophisticated financial institutions to startups, global public firms to middle-market companies, governmental entities as well as high-net-worth individuals, family offices, nonprofit organizations and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, investors, and key stakeholders who serve these clients.

Should you need any accommodations to complete this application please email:talentacquisition@eisneramper.com

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