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

Integer

Cyber Engineering Manager

Baton Rouge, LA · On-site

... afloat platforms. This role provides technical direction for multiple year Navy funded research ... Direct research into AI/ML based anomaly detection methods for embedded systems, including Bayesian ...

Axon

Mission Engineer - Baton Rouge

Baton Rouge, LA · On-site

You will use Axon's platform - AI Era, agents, workflows, integrations, and data tools - to design ... Troubleshoot onsite and coordinate root-cause resolution across Product, Engineering, Support, and ...

Varsity Tutors

Civil Engineering Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

Why Join Our Platform? * Earn incrementally higher pay for each session with the same student ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Computer Programming Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

Why Join Our Platform? * Earn incrementally higher pay for each session with the same student ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Replit Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

Why Join Our Platform? * Earn incrementally higher pay for each session with the same student ... Guides students through creating projects in multiple programming languages, using Replit AI for ...

Varsity Tutors

PE - Structural Tutor

Baton Rouge, LA · Remote

$30 - $40/hr

Why Join Our Platform? * Earn incrementally higher pay for each session with the same student ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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Ai Platform Engineer information

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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:

Ai Platform Engineer jobs near you
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.

Cyber Engineering Manager

Integer

Baton Rouge, LA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Integer Holdings rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

259th of 546 rated manufacturers

Job description

About the role
Integer Technologies seeks a Cyber Engineering Manager to lead a 3 to 4 person team conducting advanced research and development on cyber physical systems relevant to Navy ashore and afloat platforms. This role provides technical direction for multiple year Navy funded research involving cyber-physical modeling, dynamic cyber defense design, embedded systems security, and AI/ML enabled detection tools. The Cyber Engineering Manager will oversee technical execution, guide LSU collaboration, manage project schedules and deliverables, and support transition of new technologies into Navy environments. This role requires both hands-on R&D expertise and strong engineering management capabilities across complex, multi-phase research programs.
Primary Responsibilities
  • Lead a team performing cyber physical system modeling, cyber risk analysis, dynamic cyber defense research, and feasibility studies for Navy relevant systems.
  • Direct research into AI/ML based anomaly detection methods for embedded systems, including Bayesian, graph based, and adversarial approaches.
  • Manage integration of university driven research, including memory forensics, fuzzing, and binary analysis techniques, into embedded system security workflows.
  • Oversee design and execution of bench scale experiments, digital modeling environments, and controlled field demonstrations to validate cyber physical resilience approaches.
  • Provide engineering leadership and management including technical direction, scheduling, deliverable tracking, documentation quality, CUI data security, and coordination with external sponsors and research collaborators.
  • Lead technology transition planning, operator training sessions, and collaboration with Navy and industry partners to scale cyber physical resilience solutions into operational systems.
  • Contribute to business development by shaping new research directions, developing technical proposal content, and cultivating relationships with government sponsors.

Required Qualifications
  • U.S. Citizen with the ability to obtain and maintain a DoD Secret clearance.
  • Bachelor's degree and 8 years of relevant experience, or a master's degree and 5 years of experience, in cybersecurity, computer engineering, electrical engineering, or related discipline.
  • Experience leading cyber physical systems research involving modeling, simulation, cyber risk assessment, and dynamic cyber defense design.
  • Background with state-of-the-art cybersecurity approaches, including AI/ML based anomaly detection, embedded systems security, memory forensics, fuzzing, and binary analysis.
  • Experience managing engineering teams and multi-phase R&D programs with complex deliverables.
  • Ability to design and supervise execution of laboratory and field based cyber physical experiments.
  • Excellent communication skills, including documentation of complex technical findings and ability to communicate clearly with new customers and government sponsors.

Desired Qualifications
  • Experience with cyber research for Navy or maritime ashore and afloat platforms.
  • Proficiency developing digital modeling environments to simulate cyber physical interactions and mission impacts.
  • Experience transitioning technologies to government or industry partners.
  • Familiarity with DoW research program workflows.

About Integer Technologies
Integer Technologies is an applied research and product development company founded by scientists and engineers with a passion for protecting freedom with innovation. We perform R&D on next-generation systems and technologies for the Department of Defense and other U.S. Government agencies. We are hardware and software developers with experience transforming research into fieldable technology. Our core portfolio of research includes projects in power & energy systems, unmanned systems (with an emphasis on maritime systems), digital engineering, cyber security, and advanced manufacturing. Our mission is to create a safer world by translating scientific discoveries into reliable products that address urgent national security needs... at the speed of relevance.
Company Benefits
  • Integer fully covers medical, prescription, vision, and dental insurance costs for the employee and dependents. Meaning Integer standard plan pays 100% of health insurance premiums for your entire family from a well-known national insurer, saving its employee's thousands of dollars annually.
  • Relocation assistance available.
  • Base salaries which exceed local & national industry averages.
  • Year-end performance-based bonuses.
  • 401(k) with company matching that vest immediately; no funny business.
  • Paid Vacation
  • Paid Sick Leave
  • Paid Holidays

Company Perks
  • Startup culture with the stability of a large company. Integer's business plan has years of time-phased contracted work, alleviating the would-be risk from a traditional small company.
  • Direct access to company leadership, prioritization of people over process, and a stellar team with a shared desire for personal and professional growth.
  • Friendly atmosphere where people enjoy not only their work and what they're creating but enjoy helping each other as well.

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