1

Ai Platform Engineer Jobs in Baton Rouge, LA (NOW HIRING)

Solutions Architect

Central, LA · On-site

$150 - $200/hr

Our AI-powered platform helps finance teams automate complex invoice processing, improve accuracy ... Work closely with Product and Engineering to evaluate technical feasibility, identify product gaps ...

New

Guide the integration of AI/ML capabilities into analytics platforms , including predictive, prescriptive, and generative AI use cases. * Collaborate with Data Science, Engineering, Security, and ...

AI/ML Support Engineer Onsite in Baton Rouge, LA - who can work onsite Pay rate: $38/Hour - $43 ... Experience with cloud platforms like G Cloud, AWS, and Azure, including their AI/ML services.

Backend Product Engineer

Baton Rouge, LA · On-site +1

$130K - $140K/yr

We're looking for a Backend Product Engineer to own the data and backend systems that power those products and platforms. This is an AI-first role. We build with AI-native development practices ...

Specialist Solutions Architect - AI/ML

Central, LA · On-site +1

$58.25 - $76.75/hr

FEQ427R382 As an AI/ML Specialist Solutions Architect (SSA), you will lead the advanced AI/ML ... Databricks certifications (Data Engineer, ML, Platform) * Experience with competitive platforms ...

We're looking for a Backend Product Engineer to own the data and backend systems that power those products and platforms. This is an AI-first role. We build with AI-native development practices ...

Junior Developer

Baton Rouge, LA · On-site

$55K - $65K/yr

As a Junior Developer you will work alongside our Enterprise Solutions Architect and existing ... modern AI platforms and APIs * Participate in the full software development lifecycle, from ...

Govern the enablement of AI features across both platforms in line with Pearson's data handling standards and AI policy. * AIOps and Observability Partnership: Partner with Platform Engineering on ...

New

next page

Showing results 1-20

Ai Platform Engineer information

See Baton Rouge, LA salary details

$26

$50

$74

How much do ai platform engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for ai platform engineer in Baton Rouge, LA is $50.18, according to ZipRecruiter salary data. Most workers in this role earn between $39.62 and $57.88 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

What are popular job titles related to Ai Platform Engineer jobs in Baton Rouge, LA?

For Ai Platform Engineer jobs in Baton Rouge, LA, the most frequently searched job titles are:

What job categories do people searching Ai Platform Engineer jobs in Baton Rouge, LA look for?

The top searched job categories for Ai Platform Engineer jobs in Baton Rouge, LA are:

What cities near Baton Rouge, LA are hiring for Ai Platform Engineer jobs?

Cities near Baton Rouge, LA with the most Ai Platform Engineer job openings:

Infographic showing various Ai Platform Engineer job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $104,365 per year, or $50.2 per hour.

AI Platform Support & Operations Internship

Mesh

Baton Rouge, LA • On-site

$14.75 - $19.25/hr

Other

Re-posted 17 days ago


Job description

About the Role

The AI Platform Support & Operations Intern will play a hands-on role in supporting the day-to-day operations of our proprietary AI platform. This is a unique opportunity to work at the intersection of creative agency life and emerging technology — helping a team of brand thinkers, strategists, and creatives get the most out of cutting-edge AI tools. You’ll assist with software updates, user support, and ongoing platform improvements while gaining real-world experience in AI tool management and agency operations.


What You’ll Do

  • Support software updates and platform maintenance for our propietary AI tool, coordinating with vendors or developers as needed
  • Serve as the first point of contact for internal help desk requests — troubleshooting user issues, answering questions, and escalating bugs or technical problems
  • Document common issues, workarounds, and FAQs to build out an internal knowledge base for the team
  • Assist with testing new features and updates before they are rolled out to the broader MESH team
  • Monitor platform performance and flag any anomalies or recurring issues to the appropriate stakeholders
  • Help onboard new team members to our proprietary AI tool, including walkthroughs and how-to guides
  • Gather user feedback from the team and help prioritize improvements or feature requests
  • Support general IT and operations tasks as needed across the agency


What You Bring

  • Currently enrolled in or recently graduated from a program in Computer Science, Information Technology, Digital Media, or a related field
  • Comfortable working with SaaS platforms, web-based tools, and browser-based applications
  • Strong problem-solving skills and a patient, people-first approach to help desk support
  • Excellent written and verbal communication — you can explain technical things to non-technical people without making them feel small
  • Detail-oriented with the ability to document processes clearly and consistently
  • Genuine curiosity about AI, emerging technology, and how creative teams work
  • Ability to manage multiple requests and prioritize effectively in a fast-moving agency environment
  • Bonus: familiarity with prompt engineering, AI tools (ChatGPT, Midjourney, etc.), or agency/creative workflows


What You’ll Get

  • Hands-on experience with a live AI platform used by a real creative agency team
  • Exposure to brand strategy, creative production, and agency culture from the inside
  • A collaborative environment where your ideas and contributions actually matter
  • Mentorship from experienced agency professionals and technology leads
  • The chance to build a portfolio of real work — not busy work
  • Flexible hours with hybrid or remote options (based on availability)