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Remote Ai Implementation Jobs in Ladera Ranch, CA

Mid Level Software Engineer

Irvine, CA ยท Remote

$100K - $115K/yr

This is a Remote role. Here's How You'll Make an Impact on the Team * Own implementation and ... Experience with AI development tools and methodologies * Strong communication and problem-solving ...

Full Stack Engineer

Irvine, CA ยท Remote

$160K - $190K/yr

Remote (PST / MST / CST timezones; overlap with Australia required, especially in the first few ... AI tooling (such as Claude Code) to move from PRD to implementation plan. * Develop integrations ...

Principal Software Engineer (Python)

Irvine, CA ยท On-site +1

$144K - $194K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... AI stack. * Drive Test-Driven Development (TDD): Implement rigorous TDD practices, writing ...

Sr. Engineer II - Software Design

Irvine, CA ยท Remote

$130K - $172K/yr

... remote diagnostics, and telematics functionalities. * Write efficient and optimized code in ... Research and implement AI technologies and frameworks. * Recommend solutions and strategies by ...

Cybersecurity Architect

Orange, CA ยท Remote

$85 - $90/hr

Design, implement, and maintain Palo Alto Networks NGFW, Panorama, and related services including ... Architect and optimize secure remote access using solutions such as Palo Alto GlobalProtect with ...

Experience supporting implementation and configuration of ServiceNow AI Control Tower capabilities ... This compensation range is specific to a Remote role and takes into account the wide range of ...

Principal Data Architect

Irvine, CA ยท Remote

$126K - $214K/yr

This is a hands-on, remote role where you will both define standards and implement critical models ... Experience building feature stores or curated data products serving ML/AI workloads and BI ...

Showing results 21-40

Remote Ai Implementation information

See Ladera Ranch, CA salary details

$28

$54

$85

How much do remote ai implementation jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote ai implementation in Ladera Ranch, CA is $54.65, according to ZipRecruiter salary data. Most workers in this role earn between $40.87 and $64.90 per hour, depending on experience, location, and employer.

What is a remote AI implementation specialist?

A Remote AI Implementation Specialist is a professional who helps organizations deploy and integrate artificial intelligence (AI) solutions without being physically present on-site. They work remotely to assess business needs, customize AI models, oversee technical setups, and ensure seamless integration with existing systems. These specialists often collaborate with cross-functional teams, provide training, and troubleshoot issues to ensure AI tools deliver maximum value. Their expertise enables companies to adopt advanced AI technologies efficiently, regardless of geographic location.

What is the difference between Remote Ai Implementation vs Data Scientist?

AspectRemote Ai ImplementationData Scientist
Required CredentialsAI certifications, programming skills, knowledge of ML frameworksStatistics, programming, data analysis, often a degree in related field
Work EnvironmentCollaborative teams, project-based, often client-facingResearch-focused, data analysis, model development
Industry UsageTech, finance, healthcare, retailTech, finance, healthcare, academia
Search & Comparison IntentImplementing AI solutions remotelyAnalyzing data, building models

Remote Ai Implementation involves deploying AI solutions across various industries, focusing on technical deployment and integration. Data Scientists analyze data and develop models, often in research or analytical roles. While both roles require programming and AI knowledge, Remote Ai Implementation emphasizes deployment skills, whereas Data Scientists focus on data analysis and model creation.

What are the key skills and qualifications needed to thrive as a remote AI implementation specialist?

To thrive as a Remote AI Implementation Specialist, you need a strong background in computer science, data analysis, and AI/machine learning concepts, often supported by a relevant degree or certification. Proficiency with programming languages (such as Python or R), cloud platforms (like AWS or Azure), and AI frameworks (such as TensorFlow or PyTorch) is essential. Exceptional problem-solving, communication, and project management skills help you collaborate effectively and translate business needs into technical solutions. These skills ensure successful deployment of AI solutions that align with organizational goals while facilitating smooth remote teamwork and client interactions.

What are some common challenges faced when implementing AI solutions remotely, and how can they be addressed?

One common challenge in remote AI implementation is maintaining clear communication and alignment between distributed teams, especially when dealing with complex data and evolving project requirements. To address this, regular virtual meetings, detailed documentation, and collaborative project management tools are essential. Additionally, ensuring secure and efficient access to data and resources can be tricky, so robust cybersecurity protocols and cloud-based platforms are often used. Open feedback channels and cross-functional collaboration also help in quickly resolving technical issues and adapting solutions to client needs.
What cities near Ladera Ranch, CA are hiring for Remote Ai Implementation jobs? Cities near Ladera Ranch, CA with the most Remote Ai Implementation job openings:
Infographic showing various Remote Ai Implementation job openings in Ladera Ranch, CA as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $113,668 per year, or $54.6 per hour.

Sr. Software Engineer - Engineering Enablement

NextDeavor Inc.

Irvine, CA โ€ข Remote

$150K - $190K/yr

Contractor

Posted 14 days ago


Job description

Sr. Software Engineer - Engineering Enablement
Full-time
Remote
Exclusive confidential search — details shared with qualified applicants.
 
Become a Key Player as a Sr. Software Engineer - Engineering Enablement

You will own and evolve critical developer platform components that accelerate R&D productivity and AI-native development across the organization. In this senior individual-contributor role you will deliver production features, partner directly with engineering teams, and measure impact through adoption and productivity metrics. Remote.

Here's How You'll Make an Impact on the Team
  • Own features and infrastructure end-to-end: design, implementation, testing, and production release with limited guidance
  • Design and maintain shared CI/CD pipeline abstractions, templates, and reusable jobs used across multiple teams
  • Build and operate AI tooling and MCP server infrastructure, including agent orchestration, scheduling, observability, cost controls, and security boundaries
  • Own sandbox environment infrastructure: container orchestration, provisioning, lifecycle management, networking, and data isolation guardrails
  • Drive adoption through documentation, onboarding programs, office hours, and direct team engagement
  • Resolve systemic reliability issues (flaky tests, slow builds, caching inefficiencies) and partner with teams during migrations
  • Instrument platform usage and productivity (DORA metrics, adoption rates, time-to-productivity) to demonstrate impact
  • Participate in design discussions, code reviews, and mentor other engineers
Here's What You'll Need to Be Successful in This Role
  • 5+ years of professional software engineering experience delivering production features and infrastructure
  • Hands-on experience building and maintaining CI/CD systems at org scale (preferably GitLab CI and/or Jenkins)
  • Experience building developer-facing tooling or platform services relied on by other engineers
  • Hands-on experience with LLM developer tooling, MCP, agent orchestration, or AI harnesses
  • Deep proficiency in Python or TypeScript with production experience
  • Proficiency with Kubernetes and Helm at production scale on AWS or Azure
  • Familiarity with infrastructure-as-code tools (Terraform, Pulumi, or equivalent)
  • Proficiency with Git, Docker, automated testing, and modern scripting; active daily use of AI-assisted development tools
  • Bachelor's degree in Computer Science, Software Engineering, or equivalent experience
Here's What Else Might Help You Out
  • Prior Engineering Enablement, Platform Engineering, or Developer Productivity role with measurable developer velocity outcomes
  • Experience building MCP servers or tool-integration layers for LLM systems
  • Experience operating infrastructure for autonomous AI agents (sandboxed execution, scheduling, observability, cost management)
  • Familiarity with DORA metrics and developer productivity instrumentation
  • Experience with JFrog Artifactory, Nexus, or equivalent artifact management systems
  • Prior experience in financial services, fintech, or regulated environments; exposure to SOC 2 or similar compliance from an engineering perspective
Pay Range

$150K - $190K/year

Ready to Make Your Mark?

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