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

Theory Ventures

Senior Frontend Engineer

Central, LA · On-site

$150 - $200/hr

... AI systems), including work on concurrency and multitenancy * Experience crafting UIs using ... Experience building infrastructure with CSP stacks, Terraform, and k8s * Demonstrated ownership of ...

World Wide Technology

Project Coordinator

Baton Rouge, LA · Remote

$24.81 - $31.01/hr

Remote - Nationwide, United States Project Coordinator, IT Infrastructure Why WWT? At World Wide ... Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital ...

New

Hut 8

Field Manager, CXQC, Principal

Baton Rouge, LA · On-site

... 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 ...

Quora

iOS Engineer -Remote

Baton Rouge, LA · Remote

$61.63 - $88.47/hr

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

Quora

iOS Engineer -Remote

Baton Rouge, LA · On-site

$166K - $191K/yr

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

Kaizen Lab Inc.

Senior Strategy Analyst

Baton Rouge, LA · On-site

$100 - $125/hr

Analytics Infrastructure & AI --Partner with Data Engineering to ensure clean, reliable data, and use AI/LLMtooling to build self-service tools for Sales and Marketing. * Pricing & Profitability ...

Varsity Tutors

Civil Engineering Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Emphasizes applying engineering principles to real infrastructure challenges and connects civil ...

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Ai Infrastructure information

See Baton Rouge, LA salary details

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How much do ai infrastructure jobs pay per hour?

As of Sep 7, 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:

Ai Infrastructure jobs near you
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.

Paid Media & Growth Strategist (4297)

Weiler Plastic Surgery Group

Baton Rouge, LA • On-site

$100 - $125/hr

Other

Posted 20 days ago

Key responsibilities

  • Manage and optimize Meta and Google advertising accounts, including strategy, execution, and scaling.

  • Collaborate with internal teams and use CRM tools to build and refine lead-to-patient conversion paths.

  • Implement advanced tracking, attribution, and manage landing pages to maximize campaign performance.

Job description

Job Details

Job Location: HYPE - Baton Rouge, LA 70809

Position Type: Full Time

Job Category: Marketing

Senior Paid Media & Performance Specialist

Company: Hype Marketing Agency

Job Summary

Hype Marketing Agency is seeking an experienced, high-performing Senior Paid Media & Performance Specialist to take end-to-end ownership of our client portfolio’s paid social and paid search ecosystems.

In this role, you will be the primary architect and manager for all Meta and Google advertising accounts. Beyond media buying, you will bridge the gap between ad traffic and actual business revenue by collaborating with internal operations and sales teams. Utilizing tools like HubSpot and Aesthetix CRM, you will help build and fine-tune conversion paths that guide leads from initial click to booked patient and beyond. This is a senior individual contributor role for a performance marketer who thrives on scaling accounts and driving measurable ROI.

Key Responsibilities1. Full-Funnel Paid Media & AI Integration (55%)
  • End-to-End Account Ownership: Lead the strategy, execution, scale, and daily management of Meta Ads (Facebook/Instagram) and Google Ads (Search, Display, Shopping, Performance Max, YouTube).
  • AI & Machine Learning Harnessing: Implement platform-native AI algorithms (Google Smart Bidding, Performance Max asset groups, Meta Advantage+ campaigns) while leveraging generative AI tools to streamline copy ideation, audience research, and creative variations.
  • Creative Strategy & Briefing: Direct the visual and messaging strategy for ads; write high-converting copy and collaborate with graphic/video teams to brief creative angles, hooks, and formats (Reels, Shorts, Carousels) optimized for paid channels.
  • A/B Testing: Develop and execute structured tests across audiences, creative, landing pages, and bid strategies to drive continuous performance improvement.
  • Performance & Budget Scaling: Oversee budget allocation, bid strategies, and account pacing across a diverse client portfolio ($XX,XXX+ in monthly spend) to improve ROAS and lower CPA.
2. Patient/Client Lifecycle & CRM Strategy (20%)
  • Full Lead-to-Patient Conversion Paths: Leverage HubSpot and Aesthetix CRM to map, measure, and optimize complete conversion paths—ensuring paid traffic flows seamlessly from top-of-funnel lead to booked patient, consult, and repeat client.
  • Lead Scoring & Operations Alignment: Work directly with clients' internal sales, reception, and operations teams to establish lead scoring frameworks, ensure fast follow-ups, and refine lead qualification criteria based on real-world outcomes.
  • Closed-Loop Feedback Loops: Utilise offline conversion tracking (OCT) and CRM pipeline data from HubSpot and Aesthetix CRM back to ad platforms to continuously refine targeting based on actual revenues generated.
3. Tracking, Attribution & Web CMS Management (15%)
  • Advanced Tracking & Attribution: Architect robust event and conversion tracking across accounts using Google Tag Manager (GTM), GA4, Meta Conversions API (CAPI), and third-party attribution models.
  • Account Governance & Hygiene: Audit, restructure, and maintain clean infrastructure across Google Business Manager/MCC and Meta Business Suite, ensuring proper conversion integrity and user access control.
  • Landing Page & CMS Optimization: Manage updates, form setups, and user experience (UX) enhancements across various Web Content Management Systems (Shopify, Webflow, HubSpot, Squarespace, etc.) to maximize conversion rates.
4. Client Strategy & Agency Leadership (10%)
  • Direct Client Communication: Translate complex advertising and revenue metrics into actionable business insights during regular performance reviews and strategy call.
  • Reporting & Forecasting: Build monthly performance reports, identify optimization opportunities, forecast ad spend and performance trends, and present insights to clients during strategy call.
  • Mentorship: Share paid media best practices, creative frameworks, and emerging AI tools with junior team members.
  • Growth Support: Participate in new client proposals, account audits, and onboarding sessions as the lead paid media technical expert.
QualificationsQualifications & Requirements
  • Experience: 4–6+ years of hands-on experience independently managing and scaling paid media accounts across Meta and Google (agency experience strongly preferred).
  • CRM Expertise: Direct experience working within HubSpot and/or Aesthetix CRM (or similar medical aesthetic/patient management CRMs) to track and optimize lead-to-patient conversion pipelines.
  • Sales & Marketing Operations Alignment: Proven experience collaborating with sales/operations teams on lead scoring, lead qualification workflows, and pipeline feedback loops.
  • Ad Management Mastery: Proven track record of auditing, restructuring, and profitably scaling complex ad accounts across both B2B and B2C/Medical/E-commerce verticals.
  • AI Tooling: Demonstrated proficiency utilizing built-in ad network AI tools (Meta Advantage+, Google PMax) and external AI software for copy and media production.
  • Analytics & Tracking Tech: Deep knowledge of GTM, GA4, Meta CAPI, and custom conversion setups.
  • CMS & CRO Experience: Hands-on familiarity updating content and building landing pages inside major Web CMS platforms.
  • Certifications: Active Google Ads Certifications and Meta Certified Digital Marketing Associate / Blueprint credentials required (or in progress).
  • Communication: Exceptional verbal and written communication skills with comfort presenting directly to C-suite and business-owner clients.
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