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Ai Infrastructure Jobs in Baton Rouge, LA (NOW HIRING)

Senior Program Manager

Baton Rouge, LA · On-site

$101K - $101K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Navigate the evolving 2026 legislative landscape in Louisiana regarding AI infrastructure, water withdrawal permits, and natural gas utility interconnections. * Oversee the acquisition of all local ...

IT Security Analyst

Baton Rouge, LA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... infrastructure, and digital assets by implementing and maintaining effective cybersecurity practices. Also supports the organization's secure adoption and governance of AI technologies by helping ...

IT Security Analyst

Baton Rouge, LA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... infrastructure, and digital assets by implementing and maintaining effective cybersecurity practices. Also supports the organization's secure adoption and governance of AI technologies by helping ...

IT Security Analyst

Baton Rouge, LA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... infrastructure, and digital assets by implementing and maintaining effective cybersecurity practices. Also supports the organization's secure adoption and governance of AI technologies by helping ...

IT Security Analyst

Baton Rouge, LA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... infrastructure, and digital assets by implementing and maintaining effective cybersecurity practices. Also supports the organization's secure adoption and governance of AI technologies by helping ...

IT Security Analyst

Baton Rouge, LA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... infrastructure, and digital assets by implementing and maintaining effective cybersecurity practices. Also supports the organization's secure adoption and governance of AI technologies by helping ...

IT Security Analyst

Baton Rouge, LA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... infrastructure, and digital assets by implementing and maintaining effective cybersecurity practices. Also supports the organization's secure adoption and governance of AI technologies by helping ...

Fall 2026 - IT Internship

Baton Rouge, LA · On-site

$11.75 - $15.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

... cloud infrastructure, and AI implementation. In this role, youwill contribute to real projects that directly impact business operations whileworking alongside experienced professionals in a fast ...

Data Engineer

Baton Rouge, LA · On-site

$110K - $132K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... and building the infrastructure that makes world-scale RL training possible. This is a high ...

... infrastructure. Hut 8 is on a mission to build and operate some of the world's largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We ...

Commissioning Field Engineer

Baton Rouge, LA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... infrastructure. Hut 8 is on a mission to build and operate some of the world's largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We ...

iOS Engineer -Remote

Baton Rouge, LA · On-site

$166K - $191K/yr

  • Medical

  • Dental

  • Vision

  • PTO

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Create tools and infrastructure to enable rapid development of the Poe mobile experience

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Showing results 1-20

Ai Infrastructure information

See Baton Rouge, LA salary details

$22

$46

$68

How much do ai infrastructure jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ai infrastructure in Baton Rouge, LA is $46.43, according to ZipRecruiter salary data. Most workers in this role earn between $37.74 and $54.13 per hour, depending on experience, location, and employer.

What is AI infrastructure?

AI infrastructure refers to the combination of hardware, software, and cloud-based solutions that support the development, deployment, and scaling of artificial intelligence applications. It includes components such as GPUs, CPUs, storage systems, networking, data management tools, and machine learning frameworks. The goal of AI infrastructure is to provide the computational power and resources needed to train, test, and run AI models efficiently, whether on-premises or in the cloud. Organizations invest in robust AI infrastructure to accelerate innovation, manage large datasets, and ensure the reliability of their AI systems.

What are the key skills and qualifications needed to thrive in AI infrastructure?

To thrive in AI Infrastructure, you need expertise in software engineering, distributed systems, cloud platforms, and a solid understanding of machine learning workflows, often supported by degrees in computer science or related fields. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud services (AWS, GCP, Azure), as well as experience with CI/CD pipelines and monitoring systems, is essential. Strong problem-solving abilities, effective communication, and adaptability help professionals excel in cross-functional teams and rapidly evolving environments. These skills and qualities are crucial for building scalable, reliable systems that power AI applications and support organizational innovation.

What are common challenges faced by professionals working in AI infrastructure roles, and how can they be addressed?

Professionals in AI Infrastructure roles often encounter challenges related to scalability, system reliability, and integration with existing IT environments. Managing rapidly growing datasets and ensuring seamless deployment of machine learning models can be complex, requiring robust automation and monitoring tools. Collaboration with data scientists, software engineers, and DevOps teams is critical to ensure infrastructure meets the evolving needs of AI projects. Staying updated with the latest cloud technologies and best practices can help address these challenges and drive successful AI implementations.

What is the difference between Ai Infrastructure vs Data Engineer?

AspectAi InfrastructureData Engineer
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of cloud platforms and AI toolsBachelor's in CS, Data Science, or related; programming and database skills
Work EnvironmentCloud environments, AI model deployment, infrastructure setupData pipelines, database management, data processing
Employer & Industry UsageTech companies, AI startups, cloud providersTech firms, finance, healthcare, e-commerce

Ai Infrastructure professionals focus on building and maintaining the hardware and software systems that support AI models, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate but serve different core functions within AI and data ecosystems.

What are AI infrastructure jobs?

AI infrastructure jobs involve designing, building, and maintaining the hardware, software, and network systems necessary to support artificial intelligence applications. These roles often require knowledge of cloud computing, data centers, machine learning frameworks, and system optimization to ensure reliable and efficient AI model deployment and operation.

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

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

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

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

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

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

Infographic showing various Ai Infrastructure job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $96,580 per year, or $46.4 per hour.

Software Engineer, Data Infrastructure & Acquisition - Baton Rouge, LA, USA

Speechify

Baton Rouge, LA

$109K - $132K/yr

Full-time

Re-posted 3 days ago


Job description

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do

  • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
  • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
  • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
  • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.

An Ideal Candidate Should Have

  • BS/MS/PhD in Computer Science or a related field.
  • 5+ years of industry experience in software development.
  • Proficiency with bash/Python scripting in Linux environments
  • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
  • Experience with web crawlers, large-scale data processing workflows is a plus
  • Ability to handle multiple tasks and adapt to changing priorities.
  • Strong communication skills, both written and verbal.

What we offer

  • A fast-growing environment where you can help shape the company and product.
  • An entrepreneurial-minded team that supports risk, intuition, and hustle.
  • A hands-off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life-changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you're a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.