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Remote Integration Engineer Jobs in Albuquerque, NM

Senior AI Systems Engineer

Albuquerque, NM ยท On-site +1

$95K - $130K/yr

Lead the deployment, integration, and operational support of AI platforms, tools, and services ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

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Audio-Visual Design Engineer

Albuquerque, NM ยท Remote

$80K - $120K/yr

Audio Visual Design Engineer Advanced Presentation Systems | Remote (US) | Full-Time Salary: $80 ... integration firm located in Albuquerque New Mexico designing, installing, and servicing Audio ...

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Audio-Visual Design Engineer

Albuquerque, NM ยท Remote

$80K - $120K/yr

Audio Visual Design Engineer Advanced Presentation Systems | Remote (US) | Full-Time Salary: $80 ... integration firm located in Albuquerque New Mexico designing, installing, and servicing Audio ...

Control Engineer

Albuquerque, NM ยท On-site +1

$80K - $104K/yr

In addition, they have been named as a certified integrator by many vendors, as they do not focus ... within remote teams. * Computer proficiency with Microsoft Outlook, Excel, and Word. SharePoint ...

Data Engineer

Albuquerque, NM ยท On-site +1

$111K - $133K/yr

Remote Work: No Job Number: R0237241 Location: Albuquerque,NM,US Share job via: Share Data Engineer ... Interpret and analyze data from various source systems to support data integration and data ...

Senior Project Engineer

NM ยท Remote

$96K - $125K/yr

The work model for this role is: Remote {#LI-Remote} This role is contributing to the ... Preferred Skills * Experience with SCADA integration in data centers and power systems.

Senior AI Technologist

Albuquerque, NM ยท On-site +1

$50.50 - $65/hr

Identify, evaluate, and prioritize opportunities to integrate AI into existing and new ... Engineering or other IT-related field or equivalent experience REMOTE WORK NOTICE: This position ...

Senior Technical Business Developer - Grid Automation

NM ยท Remote

$100K - $132K/yr

This is a remote position. Candidates can be located anywhere in the US, with preference for Cary ... integration workflows. * Standards influence - Contribute to vPAC and IEEE working groups ...

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... the seamless integration and optimal performance of IT systems. Given the nature of federal ...

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... the seamless integration and optimal performance of IT systems. Given the nature of federal ...

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Showing results 1-20

Remote Integration Engineer information

See Albuquerque, NM salary details

$43.1K

$120.5K

$168.2K

How much do remote integration engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote integration engineer in Albuquerque, NM is $120,463.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $135,700.00 per year, depending on experience, location, and employer.

What is a Remote Integration Engineer job?

A Remote Integration Engineer is responsible for connecting software systems, APIs, and databases to ensure seamless data flow and functionality across platforms. They work remotely to develop, troubleshoot, and maintain integrations between different applications, often using cloud-based services. Their role requires expertise in programming, APIs, and system architecture to optimize automation and interoperability. Additionally, they collaborate with development teams, product managers, and clients to meet business needs.

What are the typical responsibilities of a Remote Integration Engineer on a day-to-day basis?

A Remote Integration Engineer typically spends their days designing, developing, and maintaining integrations between different software systems and platforms. This often involves working with APIs, troubleshooting data transfer issues, and collaborating with other engineering or client teams to understand technical requirements. Additionally, you may participate in remote meetings, document integration processes, and provide support during deployments. The role requires balancing independent hands-on technical tasks with regular communication to ensure solutions align with business needs and project goals.

What are the key skills and qualifications needed to thrive in the Remote Integration Engineer position, and why are they important?

To excel as a Remote Integration Engineer, you need strong problem-solving skills, experience with API integration, and a solid background in computer science or a related field. Familiarity with integration platforms (like MuleSoft or Dell Boomi), scripting languages (such as Python or JavaScript), and certifications in cloud technologies or specific integration tools are highly valued. Excellent remote communication, time management, and collaboration skills help you coordinate effectively with distributed teams and clients. These skills are vital for delivering seamless, reliable integration solutions across different systems while working independently in a remote environment.

What are popular job titles related to Remote Integration Engineer jobs in Albuquerque, NM? For Remote Integration Engineer jobs in Albuquerque, NM, the most frequently searched job titles are:
What job categories do people searching Remote Integration Engineer jobs in Albuquerque, NM look for? The top searched job categories for Remote Integration Engineer jobs in Albuquerque, NM are:
Infographic showing various Remote Integration Engineer job openings in Albuquerque, NM as of July 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $120,463 per year, or $57.9 per hour.

Senior AI Systems Engineer

Berriehill Research

Albuquerque, NM โ€ข On-site, Remote

$95K - $130K/yr

Full-time

Posted 24 days ago


Job description

Essential Functions:

  • Lead the deployment, integration, and operational support of AI platforms, tools, and services, ensuring compatibility with existing systems and enterprise processes.
  • Design, implement, monitor, and optimize AI infrastructure, working with server, cloud, and platform engineering teams.
  • Operationalize machine learning workflows and support AI-enabled applications from development through production deployment and sustainment.
  • Build and maintain CI/CD and MLOps pipelines for model packaging, testing, deployment, rollback, and lifecycle management.
  • Implement infrastructure automation using scripting, Infrastructure as Code, and configuration management practices.
  • Provide ongoing technical support, troubleshooting, root cause analysis, and documentation for AI platforms and user-facing AI services.
  • Maintain observability across AI systems through logging, metrics, performance monitoring, alerting, and incident response practices.
  • Ensure security, compliance, and governance requirements are met, including participation in audits, vulnerability management, and secure architecture reviews.
  • Assess and implement system enhancements to improve performance, scalability, reliability, and cost efficiency.
  • Collaborate across divisions to support diverse AI initiatives and align technical implementations with mission and business objectives.
  • Evaluate emerging AI tools, frameworks, and infrastructure approaches for operational fit, supportability, and long-term value.
  • Develop and maintain technical documentation, runbooks, architecture diagrams, and operational procedures.

Experience and Skills Required:

  • Bachelorโ€™s degree in computer science, Engineering, Information Technology, or a related STEM field with 8-10 years of engineering experience.ย 
  • 2+ years of experience supporting AI/ML platforms, MLOps workflows, model deployment, or AI-enabled infrastructure.
  • Strong coding and automation skills in Python, Bash, or similar scripting languages.
  • Experience with AI/ML frameworks and tooling such as PyTorch, Hugging Face, or similar ecosystems.
  • Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows, containerization, and Kubernetes.
  • Experience deploying AI/ML models or AI services into operational environments, including containerized, cloud, or high-performance computing environments.
  • Familiarity with security frameworks and compliance standards such as NIST and CMMC.
  • Familiarity with AI security functionality in enterprise environments including OAuth
  • Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.

Preferred:

  • Advanced degree or certifications related to AI or machine learning.
  • Experience integrating AI models into scientific workflows.
  • Familiarity with large language model (LLM) APIs and orchestration frameworks such as OpenAI, Hugging Face, LangGraph, or LangChain.
  • Experience with model serving, inference optimization, or AI platform tools such as MLflow, Kubeflow, vLLM, or similar.
  • Experience with simulations for scientific or engineering projects, particularly physical systems simulations.
  • Experience with GPU-based systems or running AI models in HPC environments.
  • Experience writing and deploying MCP Servers on Kubernetes
  • DoD experience
  • Secret Security Clearance โ€“ Active or Inactive

Education:

  • Bachelorโ€™s degree in CS, Software Engineering or other IT-related field or equivalent experience

REMOTE WORK NOTICE: This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be given to candidates located onsite in the Albuquerque, NM and Raleigh, NC area.