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Remote Generative Ai Engineer Jobs in Arkansas (NOW HIRING)

Quora

$139K - $168K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Our small engineering team works on challenging problems every day. We have a culture that's rooted ...

Quora

$139K - $168K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Our small engineering team works on challenging problems every day. We have a culture that's rooted ...

Alkami Technology

Sr. Data Engineer

Bentonville, AR · Remote

$120K - $150K/yr

As a remote-first company, most of our positions can be remote in the US, except for key roles ... AI/ML, or related areas ● Experience with AWS big data technologies including EMR, Glue, S3, EKS ...

micro1 AI

Director of Biostatistics

Little Rock, AR · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

micro1 AI

Director of Biostatistics

Fayetteville, AR · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Cisco

Solutions Architect - Splunk (Remote)

Bentonville, AR · On-site +1

$55.25 - $72.75/hr

Leverage AI-powered tools and generative methodologies to build, automate, and scale high-impact technical content assets, accelerating field enablement. * Content Automation: Provide content ...

Walmart

(USA) Senior, Software Engineer

Bentonville, AR · On-site +1

$90K - $180K/yr

This position is not eligible for remote work. Role summary: As a Senior Software Engineer, you ... AI/ML components to enhance platform capabilities. You will contribute to solution design ...

Accenture

IFS Cloud Functional Lead

Bentonville, AR · On-site +1

$48.75 - $65.25/hr

... AI to create value at speed across the enterprise, bringing together the talent of our ... WHO WE ARE: We are Supply Chain & Engineering: We embed innovation, intelligence, and ...

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Remote Generative Ai Engineer information

What is the difference between Remote Generative Ai Engineer vs Remote Machine Learning Engineer?

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

What are the key skills and qualifications needed to thrive as a remote generative AI engineer?

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do remote generative AI engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

What is a remote generative AI engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.
What are the most commonly searched types of Generative Ai Engineer jobs in Arkansas? The most popular types of Generative Ai Engineer jobs in Arkansas are:
What are popular job titles related to Remote Generative Ai Engineer jobs in Arkansas? For Remote Generative Ai Engineer jobs in Arkansas, the most frequently searched job titles are:
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Remote Generative Ai Engineer jobs near you

Senior Finance AI & Automation Developer

EnerSys

Arkansas City, AR • On-site, Remote

$95K - $119K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

EnerSys rating

7.7

Company rating: 7.7 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

198th of 538 rated manufacturers

Job description

EnerSys is a global leader in stored energy solutions for industrial applications. We have over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in more than 100 countries. Worldwide headquarters are located in Reading, PA, USA with regional headquarters in Europe and Asia. We complement our extensive line of Motive Power and Energy Systems with a full range of integrated services and systems. With sales and service locations throughout the world, and over 100 years of battery experience, EnerSys is the power/full solution for stored DC power products. 

What We're Offering

  • Paid time off plus paid holidays
  • Medical/dental/vision insurance plan
  • Life insurance, short/long term disability, tuition reimbursement, flex spending, and employee stock purchase plan
  • 401K plan
  • Culture: We value and strive for excellence in all that we do through innovative technology by creating long lasting relationships with our stakeholders, co-workers, and customers. We continually strive to foster teamwork, engagement and enhance our employee's skills and competence by providing appropriate training.

Compensation Range: $95,300.00 - $119,100.00 

Compensation may vary based on applicant's work experience, education level, skill set, and/or location.  

Work Arrangement: Hybrid (Reading, PA) or Remote

Hybrid Schedule for Local Candidates:

  • Monday & Friday: Remote

  • Tuesday-Thursday: Onsite at our Reading, PA location

Candidates outside the Reading, PA area may be considered for a fully remote arrangement.

Job Purpose

The Senior Finance AI & Automation Developer's primary responsibilities are to design, build, & deploy automation and AI-driven solutions across Finance processes. These projects will require project leadership and coordination with cross-functional departments. This role sits at the intersection of Finance, Technology, and Process Improvement and focuses on eliminating manual work, accelerating reporting cycles, and enabling scalable, intelligent workflows across the Finance organization. The role will partner with finance teams to map current processes, identify automation opportunities, and redesign workflows to reduce manual effort and cycle time. This position will deploy solutions into production environments, validate outputs with stakeholders and coordinate with IT for access, infrastructure, & governance. The position will also monitor performance of automations & AI solutions as well as identify additional use cases and scale successful pilots. Responsibilities may also include other adhoc tasks such as Value Stream analysis and Finance SharePoint Administration, etc. 

Essential Duties and Responsibilities
  • Design and Build Automation Solutions
  • Transformation Project Leadership
  • Power BI, Power Automate, & Power Query Projects
  • AI Agent & Chatbot Projects
  • AI Workflow Projects
  • Predictive Modeling Projects
  • Educate Finance Team about AI Applications & Tools
  • Project Documentation and Change Management
  • Finance SharePoint Site Administration
  • Ad Hoc Projects & Tasks
 
SUPERVISORY RESPONSIBILITIES: No direct reports but will lead projects
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
 
Education and/or Experience:
  • Bachelors' degree in Engineering, Technology field, and/or Finance or equivalent
  • Project Management experience required
  • Digital Process Automation experience required
  • AI workflow experience required
  • AI Agent creation experience required
  • App building experience required (personal and/or professional)
  • AI-generated coding experience required (i.e. Claude Code, Codex)
  • Azure experience required
  • Strong understanding of data structure and APIs required
  • Experience with Python and/or other code languages required
  • 6 Sigma Black Belt certification preferred  
  • Lean methodology experience preferred
  • Strong IT skills including proficiency with Microsoft Office applications; enterprise resource planning systems (i.e., SAP), etc. 
  • Power BI, Power Automate, & Power Query experience preferred
  • 3-5 Years of relevant experience or equivalent based on project volume and scope
 
Other Skills:
  • Creative in finding solutions and overcoming obstacles
  • Initiative: Aggressive while using good judgment
  • Skilled with data management & project completion
  • Ability to present findings and data to different audiences up to the Executive level
  • Team player while also excelling as an individual contributor.
  • Fast learner with strong analytical and problem-solving skills.
  • Able to successfully manage multiple projects and tasks with various deadlines.
  • Articulate, Positive & Outgoing communicator
  • Optimistic change agent that stays on the cutting edge of technology and technical requirements.
  • Curious: willing to ask questions and learn
  • Highly motivated
  • Adaptable to change
  • Exhibit a servant attitude toward colleagues and internal customers
General Job Requirements
  • This position will work in an office setting, expect minimal physical demands.

EnerSys provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.  

Know Your Rights

Know Your Rights (Spanish)

We use artificial intelligence to screen, assess and select applicants for open positions, including for the purposes of reviewing and ranking application materials and scoring answers to application questions. Accordingly, decisions about your application and eligibility for employment with EnerSys may be made based exclusively on the automated processing of the personal information that you submit in your application materials.

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