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Remote Ai Implementation Jobs in Utah (NOW HIRING)

GC AI

Head of Pre-Sales & Solutions

Provo, UT · On-site +1

$250K - $285K/yr

GC AI is the fastest-growing and most trusted legal AI platform for in-house legal teams. We're ... This is a remote role unless you fall within the following parameters. If you live within ...

Quora

$139K - $168K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Work with other engineers to implement algorithms and systems in an efficient way * Take end-to-end ...

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Remote Ai Implementation information

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 are the most commonly searched types of Ai Implementation jobs in Utah? The most popular types of Ai Implementation jobs in Utah are:
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What cities in Utah are hiring for Remote Ai Implementation jobs? Cities in Utah with the most Remote Ai Implementation job openings:
Remote Ai Implementation jobs near you

Lead Software Architect, AI & Platform Innovation

NICE

Sandy, UT • Remote

Full-time

Re-posted 10 days ago

Job description

Lead Software Architect AI & Platform Innovation
Remote (U.S.)
Help Define the Next Generation of AI-Powered Customer Experience
We're looking for a highly technical, hands-on Lead Software Architect to help shape the future of our cloud contact center platform.
This is not a traditional ivory-tower architecture role.
You'll work across engineering, product, and platform teams to solve complex technical challenges, create architectural direction for strategic initiatives, and rapidly prototype ideas that become customer-facing capabilities. You'll have the opportunity to influence the future of AI within a large-scale contact center ecosystem while helping establish an architecture practice that will grow around you.
If you're the kind of architect who still loves building, experimenting, coding, and turning ideas into working solutions, we'd love to talk.
Why This Role Is Exciting
  • Help build the next generation of AI-powered customer engagement solutions
  • Influence architecture across a large-scale cloud platform
  • Partner directly with senior engineering leaders, architects, and product teams
  • Prototype new capabilities and accelerate innovation from concept to production
  • Be one of the foundational members of a growing architecture organization
  • Work on high-impact initiatives that span multiple engineering teams and product areas
  • Shape how AI is incorporated into customer experience and contact center technologies
What You'll Do
  • Define architecture and technical direction for key platform initiatives
  • Partner with engineering managers, architects, product leaders, and development teams across the organization
  • Translate business and product capabilities into scalable technical solutions
  • Create architectural designs, prototypes, and proof-of-concepts that accelerate delivery
  • Evaluate emerging AI technologies and identify opportunities to improve products and engineering effectiveness
  • Drive technical decisions across cloud-native systems and distributed architectures
  • Mentor engineers and influence best practices without direct people management responsibility
  • Contribute hands-on code and technical solutions when needed
  • Serve as a trusted technical leader across multiple product domains
What Makes Someone Successful Here
You are:
  • Highly self-directed and comfortable operating with broad ownership
  • Equally comfortable discussing strategy and writing code
  • Able to quickly understand complex systems and identify opportunities for improvement
  • Curious about AI and actively applying modern AI tools and techniques
  • Passionate about building products, not just reviewing designs
  • Skilled at influencing teams and gaining alignment across organizations
  • Energized by solving ambiguous, high-impact technical challenges
Required Qualifications
  • 10+ years of software engineering experience with progressive technical leadership
  • Significant software architecture experience in large-scale SaaS or cloud environments
  • Strong hands-on development background in Java
  • Strong experience with AWS
  • Experience designing distributed, scalable, highly available systems
  • Experience working across multiple engineering teams and technical stakeholders
  • Demonstrated ability to move from concept through implementation
  • Strong understanding of modern software engineering practices and cloud-native architectures
Preferred Qualifications
  • Contact Center as a Service (CCaaS) experience
  • Customer experience, communications, telephony, workforce engagement, or customer interaction platform background
  • AI, machine learning, generative AI, agent-assist, automation, or analytics experience
  • Experience building prototypes and validating new product concepts
  • Prior experience serving as a lead architect or principal engineer in a SaaS organization
Ideal Backgrounds
We are especially interested in architects coming from:
  • CCaaS providers
  • Customer experience platforms
  • Enterprise SaaS organizations
  • Communications and telephony technology companies
  • Cloud-native software companies building AI-enabled products
What Will Set You Apart
  • Deep understanding of the contact center industry and where it is headed
  • A track record of turning architecture into working products
  • Strong AI fluency with practical implementation experience
  • Evidence of delivering technical innovation, not simply documenting solutions
  • The ability to identify business opportunities and transform them into scalable platform capabilities

Apply