2

Remote Artificial Intelligence Engineer Jobs in Rhome, TX

... Predictive Intelligence, Now Assist, or generative artificial intelligence capabilities ... Master's degree in Computer Science, Cyber Security, Information Security, Engineering, or ...

Showing results 21-40

Remote Artificial Intelligence Engineer information

See Rhome, TX salary details

$37.5K

$97.9K

$132.3K

How much do remote artificial intelligence engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for remote artificial intelligence engineer in Rhome, TX is $97,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,800.00 and $112,100.00 per year, depending on experience, location, and employer.

What does a Remote Artificial Intelligence Engineer do?

A Remote Artificial Intelligence Engineer designs, develops, and implements AI models and systems while working from a location outside of a traditional office. Their responsibilities include building machine learning algorithms, analyzing large datasets, optimizing AI solutions, and collaborating with teams virtually. They may work on projects such as natural language processing, computer vision, or predictive analytics, often using programming languages like Python or frameworks like TensorFlow. Remote AI Engineers use digital communication tools to coordinate with colleagues and deliver innovative AI-powered solutions across various industries.

What is the difference between Remote Artificial Intelligence Engineer vs Remote Data Scientist?

AspectRemote Artificial Intelligence EngineerRemote Data Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, algorithms, and systems remotelyAnalyzes data, builds predictive models remotely
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research organizations

Remote Artificial Intelligence Engineers focus on developing AI systems and algorithms, while Remote Data Scientists analyze data to generate insights. Both roles often require similar educational backgrounds and work remotely in tech-driven industries, but their core responsibilities differ in AI development versus data analysis.

How do Remote Artificial Intelligence Engineers typically collaborate with cross-functional teams?

Remote Artificial Intelligence Engineers frequently work with data scientists, software developers, and product managers through virtual meetings, collaborative platforms, and shared project management tools. Clear communication and documentation are essential to ensure alignment on project goals, data requirements, and deployment timelines. Regular check-ins and agile workflows help bridge the gap of physical distance, making teamwork efficient even when team members are spread across different locations.

What are the key skills and qualifications needed to thrive as a Remote Artificial Intelligence Engineer, and why are they important?

To thrive as a Remote Artificial Intelligence Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with AI frameworks. Proficiency in programming languages like Python, and familiarity with tools such as TensorFlow, PyTorch, and cloud platforms are typically required. Excellent problem-solving, communication, and self-management skills help you collaborate effectively with distributed teams and manage projects independently. These abilities are crucial for developing innovative AI solutions and ensuring smooth teamwork in a remote work environment.
What cities near Rhome, TX are hiring for Remote Artificial Intelligence Engineer jobs? Cities near Rhome, TX with the most Remote Artificial Intelligence Engineer job openings:
Infographic showing various Remote Artificial Intelligence Engineer job openings in Rhome, TX as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $97,899 per year, or $47.1 per hour.

Software Sales Specialist, Azul Prime - North America (Remote)

Azul

Fort Worth, TX โ€ข Remote

Full-time

Posted 17 days ago


Job description

We are seeking a motivated and results-driven Prime Sales Specialist to help grow our Platform Prime customer base and increase revenue. The Prime Sales Specialist will play a pivotal role in driving North America sales through a mix of new Platform Prime customer acquisition and cross-selling into existing Platform Core clients. You will work closely with the sales and technical teams to communicate the value of Azulโ€™s solutions to both technical and business stakeholders.
ย 
This is an individual-contributor, quota-carrying role that can be based remotely in the US.
What Youโ€™ll Do (aka Responsibilities):
  • Sales Strategy & Execution: Develop and implement strategies to generate new Prime business opportunities and achieve sales targets within assigned territories/accounts.
  • Client Engagement: Actively engage with existing Platform Core customers to understand their unique challenges and business needs, providing Azul solutions.
  • Sales Pipeline Management: Manage the entire sales cycle, from lead generation to close. Maintain a robust pipeline of opportunities and forecast accurately.ย  Build a 3X pipeline.
  • Cross-functional Collaboration: Work closely with Sales Engineers, Marketing, and Customer Success teams to ensure prospects receive comprehensive, clear, and accurate product demonstrations, proposals, and support.
  • Negotiation & Closing: Drive contract negotiations, while consistently closing business on a monthly and quarterly basis.
  • Reporting: Maintain accurate records of sales activity, progress, and outcomes in Salesforce.
What Youโ€™ll Bring (aka Experience and Education)
  • 15+ years direct software sales experience
  • Proven track record of direct sales of both on-premise and cloud-based software solutions into large enterprises, as well as SaaS centric companies
  • Demonstrated experience in key verticals:ย  online retail, e-commerce, ad-tech, gaming and financial services
  • Significant experience selling into the infrastructure space (OS, JVM, Container) versus the application space
  • Confident experience working in close partnership with a Technical Sales Engineer
  • Extensive experience selling technical products that require technical POCs
  • Experience selling enterprise products based on Java-based Open Source, highly desired
  • Undergraduate degree, or equivalent experience
What You'll Bring (aka Skills and Competencies)
  • Exceptional communicator, influencer and presenter
  • Ability to Evangelize a new solution where there most likely is not an existing budget placeholder
  • Demonstrated ability with Multi-Level selling
  • Proficient in deal qualification methodologies, MEDDPICC preferred
  • Progressive and proactive use of industry sales tools and systems
Location
  • Remote, ideally someone located in the Eastern or Central Time Zone
What we Offer
ยทย ย ย ย ย ย ย ย  Comprehensive compensation and healthcare packages
ยทย ย ย ย ย ย ย ย  Referral Program
ยทย ย ย ย ย ย ย ย  Work-life balance, remote-first, paid time off, company shutdown, holidays
ยทย ย ย ย ย ย ย ย  Work with top experts worldwide whom contribute to the Java ecosystem
ย 
Our Culture & Values
ย 
ยทย ย ย ย ย ย ย ย  Maniacal Customer Focus
ยทย ย ย ย ย ย ย ย  Innovation & Excellence
ยทย ย ย ย ย ย ย ย  Initiative & Courage
ยทย ย ย ย ย ย ย ย  Impact & Influence
ยทย ย ย ย ย ย ย ย  Integrity & Transparency
ยทย ย ย ย ย ย ย ย  Diversity, Inclusion & Teamwork
ย 
Azul participates in E-Verify.
As a US employer, Azul Systems, Inc. uses E-Verify to confirm the employment eligibility of all newly hired employees working in the United States. For more information about E-Verify, please visit www.e-verify.gov.
ย 
Employment at Azul is contingent upon the completion of reference and background checks.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.