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Remote Ai Automation Jobs in Baton Rouge, LA (NOW HIRING)

BPO AI Solutions Architect

Baton Rouge, LA · Remote

$64.50 - $85/hr

AI Automation Strategy Key Responsibilities * Participate in sales, discovery, and client ... Fully remote opportunity with global exposure. Working Hours This role operates within EST working ...

Remote Start Date: Mid-August Duration: Contract, 3 months (September - November), potential ... workflow automation and integration tasks • Research and apply AI tools to support campaign ...

Remote Ai Automation information

See Baton Rouge, LA salary details

$35.5K

$102.9K

$156.5K

How much do remote ai automation jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote ai automation in Baton Rouge, LA is $102,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,100.00 and $118,600.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Automation vs Data Analyst?

AspectRemote Ai AutomationData Analyst
Required CredentialsCertifications in AI, machine learning, programming (Python, R)Degree in statistics, data science, or related fields; certifications in data analysis tools
Work EnvironmentRemote, tech-focused, collaborative teamsRemote or on-site, business or research settings
Industry UsageTech, AI development, automation solutionsFinance, marketing, healthcare, business intelligence
Search & Comparison IntentUnderstanding AI automation roles, skills, and toolsAnalyzing data, generating reports, insights

Remote Ai Automation specialists focus on developing and implementing AI-driven automation solutions, requiring programming and AI certifications. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles involve data and technology, Remote Ai Automation emphasizes AI development and automation, whereas Data Analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a Remote AI Automation Specialist, and why are they important?

To thrive as a Remote AI Automation Specialist, you need a strong background in computer science, programming (especially Python), and experience with AI/ML frameworks, often supported by a relevant degree or certifications. Familiarity with automation platforms (like UiPath or Automation Anywhere), cloud services, and workflow orchestration tools is typically required. Strong problem-solving abilities, self-motivation, and clear communication skills help you excel in remote, collaborative environments. These skills ensure the effective design, deployment, and management of AI-driven automation solutions that optimize business processes.

What are some common challenges faced by professionals in remote AI automation roles, and how can they be overcome?

Remote AI automation professionals often encounter challenges such as coordinating across time zones, maintaining clear communication with cross-functional teams, and ensuring robust version control for code and automation workflows. Overcoming these obstacles typically involves leveraging collaboration tools like Slack or Microsoft Teams, setting up regular virtual meetings, and using platforms like GitHub for code management. Being proactive in updates and documentation also helps maintain alignment and productivity in a distributed team environment.

What is a Remote AI Automation job?

A Remote AI Automation job involves using artificial intelligence technologies to design, implement, and manage automated processes or systems from a remote location. Professionals in this field work on tasks such as developing AI models, integrating automation tools, and optimizing workflows to increase efficiency and reduce manual effort. These roles often require skills in programming, machine learning, and process analysis, and are common in industries like IT, finance, healthcare, and e-commerce. Remote AI Automation specialists collaborate with teams virtually, leveraging cloud-based platforms and communication tools to manage projects and support business goals.
What are the most commonly searched types of Ai Automation jobs in Baton Rouge, LA? The most popular types of Ai Automation jobs in Baton Rouge, LA are:
What are popular job titles related to Remote Ai Automation jobs in Baton Rouge, LA? For Remote Ai Automation jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Remote Ai Automation jobs in Baton Rouge, LA look for? The top searched job categories for Remote Ai Automation jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Remote Ai Automation jobs? Cities near Baton Rouge, LA with the most Remote Ai Automation job openings:
Infographic showing various Remote Ai Automation job openings in Baton Rouge, LA as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $102,867 per year, or $49.5 per hour.

BPO AI Solutions Architect

Resolv.Global

Baton Rouge, LA • Remote

$64.50 - $85/hr

Full-time

Posted 21 days ago


Job description

About The Company

We are a rapidly growing global workforce and business process outsourcing (BPO) company providing customer service, collections, recruiting, healthcare support, finance, back-office operations, and workforce solutions to clients worldwide.

As businesses continue to explore how AI can improve performance and efficiency, we are looking for a BPO AI Solutions Architect who can help identify opportunities, solve operational challenges, and design practical AI-driven solutions that create measurable business value.

This is not a traditional software engineering role.

We are looking for someone who understands business operations, can engage directly with clients and stakeholders, and knows how to bridge the gap between operational challenges and AI-powered solutions.


About the Role

As a BPO AI Solutions Architect, you will work closely with prospects, clients, and internal teams to evaluate business processes, identify inefficiencies, and recommend AI and automation solutions that improve productivity, reduce costs, enhance customer experiences, and support business growth.

You will participate in discovery calls, operational assessments, solution design discussions, and implementation planning. The ideal candidate is equally comfortable speaking with executives, operations leaders, customer service managers, recruiting teams, and technical stakeholders.

This role combines elements of:

  • AI Solutions Consulting
  • Business Process Analysis
  • Operational Improvement
  • Solutions Engineering
  • AI Automation Strategy


Key Responsibilities

  • Participate in sales, discovery, and client consultation meetings.
  • Analyze operational workflows and identify opportunities for AI and automation.
  • Conduct process mapping and workflow assessments.
  • Design AI-powered solutions for customer service, collections, recruiting, workforce management, quality assurance, reporting, and back-office operations.
  • Develop business cases and ROI estimates for proposed solutions.
  • Create implementation roadmaps and project plans.
  • Collaborate with operations, recruiting, payroll, IT, and client success teams.
  • Support the implementation and adoption of AI initiatives.
  • Evaluate emerging AI technologies and recommend practical business applications.
  • Assist in developing internal and client-facing AI solutions.


Why Join Us?

  • Work with clients across multiple industries and global markets.
  • Help shape the future of AI adoption within the BPO industry.
  • Influence business transformation initiatives from strategy through execution.
  • Join a fast-growing organization focused on innovation and operational excellence.
  • Fully remote opportunity with global exposure.


Working Hours

This role operates within EST working hours and requires consistent overlap with the U.S.-based leadership team.


Compensation

Compensation is competitive and dependent on experience, technical background, and overall fit for the role.


Hiring Process

Our hiring process is designed to identify candidates who can combine technical capability, operational thinking, and strong communication skills.

The process includes:

  1. Resume review and prescreen questionnaire
  2. One-way video interview
  3. Interview with leadership
  4. Additional/final interview if required


Please note:

Only candidates who complete both the prescreen questionnaire and one-way video interview will be considered for progression in the hiring process.

All resumes and answers must be submitted in English to be considered for the position.


Requirements:

Preferred Experience

  • Experience working within BPOs, contact centers, outsourcing organizations, staffing firms, collections agencies, customer service environments, healthcare support operations, or back-office operations.
  • Experience in identifying and improving business processes.
  • Experience participating in client-facing meetings, operational assessments, or consulting engagements.
  • Familiarity with AI tools such as ChatGPT, Claude, Gemini, Copilot, OpenAI APIs, or similar platforms.
  • Experience with workflow automation tools such as Zapier, Make, n8n, Power Automate, or similar solutions.
  • Experience working with CRM platforms such as Zoho, HubSpot, Salesforce, or Microsoft Dynamics.
  • Strong understanding of operational KPIs and workforce management concepts.
  • Excellent communication and stakeholder management skills.
  • Ability to explain technical concepts to non-technical audiences.


Ideal Candidate Profile

We are looking for someone who can walk into a client meeting, quickly understand operational challenges, identify inefficiencies, and recommend practical AI and automation solutions that create measurable business value.

The ideal candidate combines operational expertise, business consulting skills, process improvement experience, and AI knowledge into a single skill set.


Success Measures

Success in this role will be measured by:

  • AI opportunities identified and implemented
  • Operational efficiencies achieved
  • Cost savings generated
  • Client satisfaction and retention
  • Internal process improvements delivered
  • Revenue generated through AI consulting and solution design
  • Successful deployment and adoption of AI initiatives