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Remote Generative Ai Engineer Jobs in New Mexico

Senior AI Systems Engineer

Albuquerque, NM · On-site +1

$95K - $130K/yr

... optimize AI infrastructure, working with server, cloud, and platform engineering teams ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

$45.75 - $62.75/hr

Maintain an engineer-led culture while empowering specialists to own designs and recommendations ... Demonstrated exposure to generative AI, agentic AI, intelligent automation, or AI-enabled ...

Experience applying AI or generative AI to analytics or business workflows. * Healthcare, ... REMOTE DETAILS: * You will work remotely, full-time. It will require a dedicated, quiet, private ...

Senior AI Technologist

Albuquerque, NM · On-site +1

$50.50 - $65/hr

We are seeking an experienced AI Technologist to drive the discovery, design, and adoption of ... Engineering or other IT-related field or equivalent experience REMOTE WORK NOTICE: This position ...

US Remote Dallas and Scottsdale preferred Overview: The Senior Director, Finance IT is a senior ... Build the Finance IT roadmap for Generative AI and Copilot integration across finance workflows.

Programmer - AI Trainer

Albuquerque, NM · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

Showing results 21-40

Remote Generative Ai Engineer information

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 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 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.

How much does a remote generative AI engineer make?

A remote generative AI engineer typically earns between $100,000 and $160,000 annually, depending on experience, skills, and the company's location. Senior roles or those with specialized expertise in machine learning and deep learning can command higher salaries, especially with proficiency in tools like TensorFlow or PyTorch.

What are the best remote generative AI engineer jobs?

Remote generative AI engineer jobs are available across technology companies, research institutions, and startups, often requiring skills in machine learning frameworks like TensorFlow or PyTorch and experience with natural language processing or computer vision. These roles typically involve developing and deploying AI models remotely, with some positions offering flexible schedules and requiring certifications or advanced degrees in computer science or related fields.

What is the average salary of a remote generative AI engineer?

The average salary for a remote generative AI engineer typically ranges from $100,000 to $150,000 annually, depending on experience, skills in machine learning frameworks, and the complexity of projects. Senior roles or those with specialized expertise in deep learning and large language models can earn higher compensation. Remote positions often offer competitive pay comparable to on-site roles in the tech industry.

What are the most commonly searched types of Generative Ai Engineer jobs in New Mexico?

The most popular types of Generative Ai Engineer jobs in New Mexico are:

What are popular job titles related to Remote Generative Ai Engineer jobs in New Mexico?

For Remote Generative Ai Engineer jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Remote Generative Ai Engineer jobs in New Mexico look for?

The top searched job categories for Remote Generative Ai Engineer jobs in New Mexico are:

What cities in New Mexico are hiring for Remote Generative Ai Engineer jobs?

Cities in New Mexico with the most Remote Generative Ai Engineer job openings:

Infographic showing various Remote Generative Ai Engineer job openings in New Mexico as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Remote AI Automation Developer

Presbyterian Healthcare Services

Albuquerque, NM • On-site, Remote

$87K - $149K/yr

Full-time

Medical, Dental, Vision, Life

Re-posted 6 days ago


Key responsibilities

  • Design end-to-end intelligent automation solutions using UiPath, Power Automate, and Copilot Studio.

  • Define enterprise automation architecture, standards, governance, and best practices.

  • Develop and deploy scalable RPA, workflow automation, and AI-powered conversational solutions.


Presbyterian Healthcare Services rating

7.2

Company rating: 7.2 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

344th of 898 rated healthcare providers


Job description

Location Address:
9521 San Mateo NEAlbuquerque, NM 87113-2237
Compensation Pay Range:
Minimum Offer $87,526.40Maximum Offer $149,032.00Now Hiring: Remote AI Automation Developer
Summary:
Build your Career. Make a Difference. Presbyterian is hiring a skilled AI Automation Developer. We are seeking an experienced AI Automation Architect to lead the design, development, and implementation of enterprise automation solutions using UiPath, Microsoft Power Automate, and Microsoft Copilot Studio. The ideal candidate will combine deep technical expertise with architectural leadership to deliver intelligent automation solutions that improve operational efficiency, enhance user experiences, and accelerate digital transformation within a healthcare environment.
This role requires hands-on development experience, solution architecture expertise, and the ability to work closely with business stakeholders, IT teams, clinical and operational leaders, and enterprise architects to define and implement scalable AI-driven automation strategies that improve patient, provider, and employee experiences.Type of Opportunity: Full timeJob Exempt: YesJob is based: Reverend Hugh Cooper Administrative CenterWork Shift: Days (United States of America)
Responsibilities:
This position has full technical knowledge of all phases of applications systems analysis. Responsible for quality assurance review. Acts as project leader for projects with small budgets or limited duration
  • Design end-to-end intelligent automation solutions using UiPath, Power Automate, and Copilot Studio.
  • Define enterprise automation architecture, standards, governance, and best practices.
  • Develop and deploy scalable RPA, workflow automation, and AI-powered conversational solutions.
  • Design and implement integrations with enterprise platforms and applications, including Epic, Salesforce, Genesys, Microsoft 365, ERP systems, CRM platforms, REST APIs, databases, and other line-of-business applications.
  • Design AI-enabled automations using Large Language Models (LLMs), Microsoft Copilot capabilities, AI Builder, and intelligent document processing.
  • Partner with clinical, operational, and business stakeholders to identify and prioritize automation opportunities that improve efficiency, quality, and user experience.
  • Lead technical discovery sessions, solution design workshops, and architecture reviews.
  • Mentor and guide automation developers on development standards and reusable components.
  • Collaborate with security, infrastructure, application, and integration teams to ensure automation solutions are secure, scalable, reliable, and compliant with healthcare regulations and enterprise architecture standards.
  • Monitor automation performance and drive continuous optimization and operational excellence.
  • Evaluate emerging AI and automation technologies and recommend enhancements to the enterprise automation roadmap.

Preferred Qualifications:
  • Experience implementing intelligent automation within a healthcare provider or payer organization.
  • UiPath Advanced Developer and/or Solution Architect certification.
  • Microsoft Power Platform certifications.
  • Experience with Azure AI Services, Azure OpenAI, AI Builder, Microsoft Fabric, or other AI platforms.
  • Experience with process mining, task mining, document understanding, and intelligent document processing.
  • Experience establishing enterprise automation governance and contributing to an Automation Center of Excellence (CoE).

Certifications:
  • UiPath Certified Professional (Advanced Developer Professional or equivalent)
  • Microsoft Certified: Power Platform Functional Consultant Associate (PL-200) or Power Platform Developer Associate (PL-400)
  • Microsoft Copilot Studio certification or demonstrated hands-on experience designing and implementing Copilot Studio solutions (required until formal certification is available)

Hybrid: In office expected for individuals within 60 Miles of Albuquerque every Tues, Wed, Thurs.
Remote: Open to remote applicants in the United States, except for the following states: California, Illinois, North Dakota, New York, Ohio, Washington and Wyoming
Qualifications:
  • Bachelor s degree in related technical/business area plus 6 years of IT or business experience. 6 years of additional experience can be substituted in lieu of degree
  • Expert-level experience with UiPath development and solution architecture.
  • Strong experience with Microsoft Power Automate (Cloud and Desktop).
  • Hands-on experience building copilots and AI agents using Microsoft Copilot Studio.
  • Proven experience in integrating automation solutions with enterprise platforms such as Epic, Salesforce, Genesys, Microsoft 365, Azure services, SQL Server, REST APIs, and other enterprise applications.
  • Experience in the healthcare industry, including knowledge of clinical and operational workflows, electronic health records (EHR), revenue cycle, patient access, or contact center operations.
  • Familiarity with healthcare data privacy, security, and regulatory requirements, including HIPAA.
  • Strong understanding of AI, Generative AI, Large Language Models (LLMs), prompt engineering, and intelligent automation.
  • Strong analytical, problem-solving, communication, and stakeholder management skills.

All benefits-eligible Presbyterian employees receive a comprehensive benefits package that includes medical, dental, vision, short-term and long-term disability, group term life insurance and other optional voluntary benefits.
Wellness
Presbyterian's Employee Wellness rewards program is designed to provide you with engaging opportunities to enhance your health and activate your well-being. Earn gift cards and more by taking an active role in our personal well-being by participating in wellness activities like wellness challenges, webinar, preventive screening and more.
Why work at Presbyterian?
As an organization, we are committed to improving the health of our communities. From hosting growers' markets to partnering with local communities, Presbyterian is taking active steps to improve the health of New Mexicans.
About Presbyterian Healthcare Services
Presbyterian exists to improve the health of patients, members, and the communities we serve. We are locally owned, not-for-profit healthcare system of nine hospitals, a statewide health plan and a growing multi-specialty medical group. Founded in New Mexico in 1908, we are the state's largest private employer with nearly 14,000 employees - including more than 1600 providers and nearly 4,700 nurses.
Our health plan serves more than 580,000 members statewide and offers Medicare Advantage, Medicaid (Centennial Care) and Commercial health plans.
AA/EOE/VET/DISABLED. PHS is a drug-free and tobacco-free employer with smoke free campuses.
We're Determined to Support New Mexico's Well-Being | Presbyterian Healthcare Services

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About Presbyterian Healthcare Services

Sourced by ZipRecruiter

Presbyterian Healthcare Services exists to improve the health of patients, members and the communities we serve. We are a locally owned, not-for-profit healthcare system of nine hospitals, a statewide health plan and a growing multi-specialty medical group. Founded in New Mexico in 1908, we are the state's largest private employer with nearly 14,000 employees - including more than 1,600 providers and nearly 4,700 nurses.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Albuquerque, NM, US

Year founded

1908

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