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Generative Ai Developer Jobs in New Mexico (NOW HIRING)

Senior AI Engineer

Santa Fe, NM · On-site

$126.07 - $196.98/hr

Chemours is seeking a Senior AI Engineer to join our growing AI & Data Science team. This is a ... Identify, design, and integrate Generative AI solutions into existing business workflows to deliver ...

Gen AI Technologist Lead

Albuquerque, NM · On-site

$128K - $161K/yr

Develop, implement, and optimize Generative AI models and algorithms to solve simple and complex ... Skills in programming languages like Python, R, SQL or Java. Experience with large language Models ...

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Generative Ai Developer information

See New Mexico salary details

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$43

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How much do generative ai developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for generative ai developer in New Mexico is $43.89, according to ZipRecruiter salary data. Most workers in this role earn between $22.84 and $53.12 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

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

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

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

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

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

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

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

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

Infographic showing various Generative Ai Developer job openings in New Mexico as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $91,286 per year, or $43.9 per hour.

Executive Director AI Engineering and Process Automation

Presbyterian Healthcare Services

Albuquerque, NM • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Presbyterian Healthcare Services rating

7.2

Company rating: 7.2 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

345th of 891 rated healthcare providers


Job description

Location Address:
9521 San Mateo NEAlbuquerque, NM 87113-2237
Summary:
Presbyterian Health Plan (PHP) seeks a visionary technology executive to serve as its next Executive Director of AI Engineering & Process Automation. This highly strategic leadership role will define and operationalize the future of artificial intelligence, intelligent automation, and digital transformation across the Health Plan.
As healthcare organizations face mounting pressure to improve efficiency, reduce administrative burden, accelerate decision-making, and enhance member and provider experiences, Presbyterian is making significant investments in AI and automation capabilities. The Executive Director will lead the strategy, engineering delivery, governance, and adoption of enterprise AI and automation solutions that drive measurable clinical, operational, financial, and customer experience outcomes.
This executive will build and lead a multidisciplinary team responsible for delivering secure, compliant, and scalable automation and AI capabilities, including robotic process automation (RPA), machine learning, workflow automation, predictive analytics, and generative AI solutions. Working closely with operational leaders across Claims, Prior Authorization, Utilization Management, Provider Operations, Enrollment, Finance, Care Management, and Member Services, the Executive Director will identify and prioritize transformation opportunities and ensure successful adoption from concept through enterprise deployment.
The ideal candidate is a transformational technology leader who combines deep engineering expertise with strong business acumen and a proven track record of delivering AI and automation solutions at scale.
Work Arrangement:
• Remote: Open to applicants in the United States, excluding CA, IL, ND, NY, OH, WA, and WY.
• Hybrid (Strongly Preferred): For individuals within 60 miles of Albuquerque, in-office presence is required Tuesday through Thursday.
Job Description:
Strategic AI & Automation Leadership
  • Develop and execute the Health Plan's AI and automation strategy, aligning investments with organizational priorities and measurable business outcomes.
  • Establish a multi-year roadmap for AI, machine learning, generative AI, workflow automation, and robotic process automation (RPA).
  • Identify opportunities to improve administrative efficiency, operational performance, member experience, provider experience, and cost management through intelligent automation.
  • Prioritize initiatives based on business value, implementation complexity, risk, and return on investment.
  • Serve as a strategic advisor to executive leadership regarding emerging AI technologies, market trends, and innovation opportunities.

AI Engineering & Solution Delivery
  • Lead the design, development, deployment, and scaling of production-ready AI and automation solutions.
  • Oversee implementation of automation and AI initiatives across Claims, Prior Authorization, Utilization Management, Provider Operations, Finance, Enrollment, Care Management, Encounters, and Member Services.
  • Establish engineering standards, development methodologies, and quality controls that ensure scalable and sustainable delivery.
  • Create repeatable frameworks for evaluating, testing, and operationalizing emerging technologies.

Architecture, Platforms & Technology Governance
  • Define enterprise architecture standards supporting AI and automation initiatives.
  • Establish integration patterns, APIs, data pipelines, orchestration frameworks, observability capabilities, and resiliency standards.
  • Lead platform evaluation, selection, implementation, and lifecycle management activities.
  • Ensure alignment with enterprise technology strategy and long-term scalability goals.

Responsible AI, Compliance & Risk Management
  • Establish enterprise governance frameworks for responsible AI usage.
  • Ensure compliance with HIPAA, privacy regulations, security requirements, and organizational policies.
  • Implement controls supporting explainability, auditability, model lifecycle management, drift monitoring, and bias mitigation.
  • Partner with Compliance, Legal, Risk Management, Privacy, and Security teams to maintain appropriate oversight.

Operational Excellence & Value Realization
  • Establish operational support models for AI and automation solutions, including SLAs, incident management, monitoring, release governance, and continuous improvement.
  • Develop performance dashboards and executive reporting frameworks.
  • Measure and communicate business outcomes associated with AI investments.
  • Drive optimization and continuous improvement of deployed solutions.

Executive Partnership & Change Leadership
  • Partner closely with operational leaders to identify automation opportunities and drive organizational adoption.
  • Lead executive discussions regarding priorities, investments, risks, tradeoffs, and expected outcomes.
  • Develop change management strategies supporting implementation and user adoption.
  • Translate technical concepts into actionable business recommendations for executive audiences.

Talent Leadership & Organizational Capability Building
  • Build, lead, and develop a high-performing team of AI engineers, automation developers, data engineers, solution architects, and technical leaders.
  • Foster a culture of innovation, accountability, continuous learning, and collaboration.
  • Develop succession plans and technical career pathways.
  • Elevate organizational capabilities in AI engineering, automation, and digital transformation.

Success Measures
Within the first 12-24 months, the Executive Director will be expected to:
  • Develop and gain executive alignment on a comprehensive AI and automation roadmap aligned with Health Plan priorities.
  • Establish a sustainable AI Engineering & Process Automation function with strong governance, architecture standards, and operational processes.
  • Successfully deploy multiple production AI and automation solutions that deliver measurable operational and financial improvements.
  • Reduce administrative burden, manual work effort, claim pend volumes, turnaround times, and operational inefficiencies across targeted functions.
  • Implement responsible AI governance frameworks that ensure compliance with security, privacy, regulatory, and ethical standards.
  • Deliver measurable value realization through improvements in productivity, accuracy, cost avoidance, quality, and member/provider experience.
  • Build executive dashboards and reporting frameworks that demonstrate adoption, performance, ROI, and business impact.
  • Recruit, develop, and retain a high-performing team capable of scaling AI and automation capabilities across the enterprise.
  • Establish trusted advisory relationships with operational and executive leaders and become the organization's recognized leader in AI-driven transformation.
  • Position Presbyterian Health Plan as a leader in intelligent automation and responsible AI adoption within the healthcare payer industry.

Additional Job Description:
  • 12+ years of progressive technology leadership experience in software engineering, AI, automation, digital transformation, or enterprise technology delivery.
  • 7+ years leading managers, technical leaders, and enterprise-scale technology programs.
  • Demonstrated executive accountability for AI, automation, engineering, or digital transformation initiatives.
  • Proven success building and scaling high-performing engineering, AI, or automation organizations.
  • Experience influencing executive stakeholders and leading enterprise transformation initiatives.
  • Demonstrated track record establishing strategy and governance while delivering measurable business outcomes.

Benefits
Benefits are effective day-one (for .45 FTE and above) and include:
  • Competitive salaries
  • Full medical, dental and vision insurance
  • Flexible spending accounts (FSAs)
  • Free wellness programs
  • Paid time off (PTO)
  • Retirement plans, including matching employer contributions
  • Continuing education and career development opportunities
  • Life insurance and short/long term disability programs

About Us
Presbyterian Healthcare Services is 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, it is the state's largest private employer with approximately 11,000 employees.
Presbyterian's story is really the story of the remarkable people who have chosen to work here. Starting with Reverend Cooper who began our journey in 1908, the hard work of thousands of physicians, employees, board members, and other volunteers brought Presbyterian from a tiny tuberculosis sanatorium to a statewide healthcare system, serving more than 700,000 New Mexicans.
We are part of New Mexico's history - and committed to its future. That is why we will continue to work just as hard and care just as deeply to serve New Mexico for years to come.
About New Mexico
New Mexico's unique blend of Spanish, Mexican and Native American influences contribute to a culturally rich lifestyle. Add in Albuquerque's International Balloon Fiesta, Los Alamos' nuclear scientists, Roswell's visitors from outer space, and Santa Fe's artists, and you get an eclectic mix of people, places and experiences that make this state great.
Cities in New Mexico are continually ranked among the nation's best places to work and live by Forbes magazine, Kiplinger's Personal Finance, and other corporate and government relocation managers like Worldwide ERC.
New Mexico offers endless recreational opportunities to explore, and enjoy an active lifestyle. Venture off the beaten path, challenge your body in the elements, or open yourself up to the expansive sky. From hiking, golfing and biking to skiing, snowboarding and boating, it's all available among our beautiful wonders of the west.
AA/EOE/VET/DISABLED. PHS is a drug-free and tobacco-free employer with smoke free campuses.

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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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