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Scale Ai Jobs (Flexible Options) in Utah

AI DevOps Engineer

Sandy, UT

$50.25 - $68.75/hr

Build and scale AI-driven workflows and automation systems Develop integrations with systems like monitoring platforms, ticketing tools, CI/CD pipelines, and cloud services Design and implement APIs ...

CGI is seeking a Junior AI Engineer to design, build, and scale AI-powered product features from concept to production. In this role, you will work as a consultant supporting enterprise clients ...

CGI is seeking a Junior AI Engineer to design, build, and scale AI-powered product features from concept to production. In this role, you will work as a consultant supporting enterprise clients ...

CGI is seeking a Junior AI Engineer to design, build, and scale AI-powered product features from concept to production. In this role, you will work as a consultant supporting enterprise clients ...

CGI is seeking a Junior AI Engineer to design, build, and scale AI-powered product features from concept to production. In this role, you will work as a consultant supporting enterprise clients ...

AI DevOps Engineer

Sandy, UT · On-site

$50.25 - $68.75/hr

How will you make an impact? • Build and scale AI-driven workflows and automation systems • Develop integrations with systems like monitoring platforms, ticketing tools, CI/CD pipelines, and ...

Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through infrastructure built for AI at scale. AI & Engineering leverages innovative ...

Proven track record of identifying opportunities to build, test, and scale AI-powered solutions. * AI Monitoring: Experience designing or implementing monitoring for AI systems, including model ...

Google AI Lead Architect

Salt Lake City, UT

$53.50 - $73.25/hr

Lead the design and development of enterprise-grade AI applications and platforms, with a focus on scaling AI solutions for production. This includes defining the technical architecture, selecting ...

Defines standards and best practices to enable the organization to scale AI solutions responsibly and effectively in the Product Engineering group. Responsibilities: * Guides the execution of the ...

Defines standards and best practices to enable the organization to scale AI solutions responsibly and effectively in the Product Engineering group. Responsibilities: * Guides the execution of the ...

AI Tech Support

Lehi, UT · On-site

$70K - $100K/yr

Our AI teammates answer phones, book appointments, follow up with customers, recover missed revenue ... as we scale. What You'll Do * Resolve customer issues across product, workflow, and technical ...

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$50.25 - $68.75/hr

Full-time

Posted 21 days ago


Job description

AI DevOps Engineer - Cloud AI Platforms

At NICE, we are not just building software-we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand system behavior, make decisions, and automate real-world operational workflows at scale. If you're excited about applying AI beyond chatbots into real production systems, this is an opportunity to work on meaningful, high-impact problems.

 

What's the role all about?

As an AI DevOps Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure. You will work on designing and implementing intelligent workflows, integrating AI models, and building scalable systems that automate complex operational tasks.

This is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments.

 
 

How will you make an impact?

 Build and scale AI-driven workflows and automation systems
 Develop integrations with systems like monitoring platforms, ticketing tools, CI/CD pipelines, and cloud services
 Design and implement APIs, tools, and data pipelines that power AI-driven decision-making
 Work on LLM integrations, Model training, PII redaction solutions,promptengineering, and orchestration layers
 Translate real-world operational problems into automated, intelligent solutions
 Collaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilities
 Improve system performance, reliability, and observability
 
 

Key Responsibilities

 Design and develop scalable backend systems for AI-powered platforms
 Build and maintain AI integrations, workflows, and automation pipelines
 Implement REST APIs, microservices, and event-driven architectures
 Work with both structured and unstructured data for AI use cases
 Contribute to CI/CD pipelines, testing, and deployment automation
 Troubleshoot and optimize production systems
 Collaborate with cross-functional teams to deliver high-quality solutions
 Contribute to reusable frameworks and engineering best practices
 
 

What we're looking for

 Strong experience in backend development (Typscript, C#, .NET, Python, RUST or similar)
 Experience building scalable, distributed systems in cloud environments
 Familiarity with APIs, microservices, and event-driven systems
 Exposure to AI/ML concepts, LLMs, or AI SDKs (hands-on preferred)
 Experience with AWS / Azure / GCP
 Working knowledge of CI/CD, Docker, Kubernetes
 Strong problem-solving and analytical skills
 Ability to work in a fast-paced, evolving environment
 
 

Nice to have

 Experience with LLM frameworks or prompt engineering
 Knowledge of observability tools (Grafana, Prometheus, etc.)
 Experience building automation or internal platforms
 Frontend exposure (React, JavaScript)