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Assistant Ai Strategy Jobs in Utah (NOW HIRING)

AI Enterprise Customer Success Manager

Lehi, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Podium, we bring AI Employees to local businesses that turn every conversation into revenue ... strategic clients. You will help ensure customer satisfaction, support product adoption, and assist ...

The Challenge Strategy, Planning & Multi-Functional Support * Assist Tech GRC Security leadership ... Further, automate reporting and program execution using AI to improve efficiency. * Drivethe ...

Executive Assistant

Lehi, UT · On-site

$70K - $90K/yr

  • Medical

  • Retirement

  • PTO

In addition to our real estate investment strategy, Reef and/or affiliates own and operate various ... Use Claude and other approved AI tools to draft communications, summarize documents, and streamline ...

AI Enterprise Customer Success Manager

Lehi, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As an AI Enterprise CSM, you will be responsible for supporting the relationships with Podium ... strategic clients. You will help ensure customer satisfaction, support product adoption, and assist ...

Executive Assistant

West Valley City, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role serves as a trusted strategic partner, ensuring executives can operate efficiently while ... Leverage AI-powered productivity tools (such as Microsoft Copilot, ChatGPT, Gemini, or similar ...

Executive Assistant

West Valley City, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role serves as a trusted strategic partner, ensuring executives can operate efficiently while ... Leverage AI-powered productivity tools (such as Microsoft Copilot, ChatGPT, Gemini, or similar ...

Showing results 21-40

Assistant Ai Strategy information

What is an assistant AI strategy?

An Assistant AI Strategy refers to the planning and implementation of artificial intelligence technologies, such as digital assistants, to support and enhance business operations. This role involves analyzing current AI trends, identifying opportunities for AI integration, and recommending best practices for deploying AI assistants. The goal is to improve efficiency, automate routine tasks, and provide valuable insights for decision-making. Professionals in this field work closely with technical teams and business stakeholders to align AI initiatives with organizational objectives.

What are some typical challenges an assistant AI strategy professional might face when supporting the development and implementation of AI initiatives?

As an Assistant AI Strategy professional, you'll often encounter challenges such as aligning AI initiatives with overall business objectives, managing stakeholder expectations, and navigating evolving technologies. You may also need to balance the need for innovation with concerns about data privacy, ethical use, and regulatory compliance. Collaborating effectively across technical, business, and operations teams is crucial to ensure the successful integration of AI solutions within existing workflows.

What are the key skills and qualifications needed to thrive as an assistant AI strategist, and why are they important?

To thrive as an Assistant AI Strategist, you need a solid understanding of artificial intelligence concepts, data analysis, and strategic planning, often supported by a degree in computer science, data science, or business. Familiarity with tools like Python, machine learning platforms (such as TensorFlow or Azure ML), and data visualization software is commonly required. Strong communication, critical thinking, and collaborative skills help you effectively bridge technical teams and business stakeholders. These skills ensure successful AI project implementation and alignment with organizational goals.

What is the difference between Assistant Ai Strategy vs Data Analyst?

AspectAssistant Ai StrategyData Analyst
Required CredentialsBachelor's in Computer Science, AI, or related fields; familiarity with AI toolsBachelor's in Statistics, Data Science, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, AI startups, R&D teamsBusiness, finance, healthcare, and other industries
Employer & Industry UsagePrimarily in AI-focused roles within tech and innovation sectorsAcross various industries for data-driven decision making

The Assistant Ai Strategy role focuses on developing and implementing AI strategies, working closely with AI teams, and understanding AI technologies. In contrast, a Data Analyst primarily interprets data, creates reports, and supports business decisions through data insights. While both roles require analytical skills, Assistant Ai Strategy emphasizes AI knowledge and strategic planning, whereas Data Analysts focus on data manipulation and analysis.

How do I become an assistant AI strategist?

To become an assistant AI strategist, develop a strong foundation in artificial intelligence, machine learning, and data analysis through relevant degrees or certifications. Gaining experience with AI tools, programming languages like Python, and understanding business applications of AI can enhance your qualifications for this role.

What is the easiest assistant AI strategy job to get into?

Entry-level assistant AI strategy roles typically require a basic understanding of AI concepts, data analysis, and familiarity with tools like Python or machine learning frameworks. Candidates often start with internships or related positions in data analysis or AI support, and building a foundational knowledge through online courses or certifications can improve chances of entry.

What are the most commonly searched types of Ai Strategy jobs in Utah?

The most popular types of Ai Strategy jobs in Utah are:

What are popular job titles related to Assistant Ai Strategy jobs in Utah?

For Assistant Ai Strategy jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Assistant Ai Strategy jobs?

Cities in Utah with the most Assistant Ai Strategy job openings:

Lead Software Architect, AI & Platform Innovation

NICE

Sandy, UT • Remote

Full-time

Re-posted 22 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