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Ai In Jobs in Nevada (NOW HIRING)

Meltwater

Senior AI/ML Engineer

Las Vegas, NV

$188K - $250K/yr

Solid foundation in machine learning concepts such as feature engineering, model selection ... Passion for AI (in particular Generative AI), with a constant drive to stay updated and ahead of ...

Reflex Media, Inc.

AI Technology Associate

Las Vegas, NV · On-site +1

$80K - $95K/yr

Remote - Anywhere in the USA (Las Vegas, NV strongly preferred) Company: Seeking.com Department: Technology (cross-functional rotation across DEA, AI, Product, Development, and Data Science) Type:

CBRE

Union IT Service Tech

Reno, NV · On-site

We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process. These updates reflect our ...

Deloitte

AI Engineer Consultant

Las Vegas, NV · Hybrid

Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science ... AI Engineer Consultant Our Deloitte Human Capital team transforms technology platforms, drives ...

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

To thrive as an AI Engineer, you need strong programming skills (especially in Python), a solid foundation in mathematics and statistics, and typically a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, experience with data modeling, and sometimes certifications in AI or data science are highly valued. Critical thinking, creativity, and effective communication help AI Engineers collaborate on complex projects and translate technical concepts for diverse audiences. These skills and qualities are crucial for developing innovative, reliable AI solutions that address real-world challenges.

What are some common challenges AI Engineers face when integrating artificial intelligence solutions into existing business systems?

AI Engineers often encounter challenges such as ensuring compatibility between new AI models and legacy systems, managing data quality and availability, and addressing scalability concerns. Effective communication with cross-functional teams, including data scientists, IT, and business stakeholders, is essential to understand requirements and mitigate potential roadblocks. Additionally, AI Engineers must balance innovation with ethical considerations and compliance, making it crucial to stay updated on industry standards and best practices.

What is an AI Engineer?

An AI Engineer is a professional who designs, develops, and implements artificial intelligence systems and applications. They use machine learning algorithms, deep learning frameworks, and data analysis techniques to create intelligent solutions that can perform tasks such as image recognition, natural language processing, and decision-making. AI Engineers often collaborate with data scientists and software developers to build models, train AI systems, and deploy them in real-world environments. Their work is crucial in advancing automation and making technology smarter across various industries.

What is the difference between Ai In vs Data Analyst?

AspectAi InData Analyst
Required CredentialsTypically a degree in AI, computer science, or related field; certifications in AI or machine learningDegree in statistics, mathematics, or related field; certifications in data analysis or visualization
Work EnvironmentTech companies, AI research labs, startups; focus on developing AI modelsBusiness, finance, healthcare sectors; analyze data to inform decisions
Employer & Industry UsagePrimarily in tech and AI-focused industriesAcross various industries including finance, healthcare, marketing

While both roles involve working with data, Ai In focuses on developing and implementing AI models, whereas Data Analysts interpret data to support business decisions. Ai In roles require specialized knowledge in AI and machine learning, while Data Analysts focus on data visualization and statistical analysis.

What are popular job titles related to Ai In jobs in Nevada? For Ai In jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Ai In jobs in Nevada look for? The top searched job categories for Ai In jobs in Nevada are:
What cities in Nevada are hiring for Ai In jobs? Cities in Nevada with the most Ai In job openings:
Ai In jobs near you

Senior Solutions Architect AI/ML

TELUS Digital

Las Vegas, NV • On-site

$150K - $160K/yr

Full-time

Posted 2 days ago

TELUS Digital rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

87th of 203 rated it services

Job description

Description
Senior Solutions Architect AI/ML
Work Style: Hybrid - San Francisco Bay Area
Compensation: $150K - $160K USD annual
We are looking for a Senior Solutions Architect to lead our technical engagements with the teams building the future of AI. In this role, you will be the technical authority and trusted partner for our most strategic customers, the pioneers in AGI/ASI development.
You will be at the forefront of AI innovation, bridging advanced research with practical engineering. Your primary focus will be on designing sophisticated data solutions that accelerate the creation of next-generation AI. This involves providing technical thought
leadership and fostering strong collaborations with leading AI research teams globally.
The ideal candidate is a seasoned architect with deep expertise in Applied ML, a history of advising sophisticated technical customers, and a passion for solving the most complex data challenges in AI.
The Impact You'll Make
  • Shape the Future of AI: Act as a strategic partner to AGI/ASI research teams, designing the foundational data solutions that will power breakthrough models.
  • Drive Technical Strategy: Establish the architectural best practices and reference patterns for our most advanced customer segment, influencing both customer roadmaps and our own product direction.
  • Be a Trusted Advisor: Build enduring, C-level and Principal Engineer-level relationships within top AI labs, becoming their go-to expert for complex data architecture challenges.
  • Mentor and Lead: Elevate the technical acumen of the entire solutions team by mentoring colleagues and defining the gold standard for supporting high-stakes AI development.

Key Responsibilities
  • Lead deep architectural design sessions with AGI/ASI research and engineering teams to co-create data solutions that solve critical bottlenecks in the model development lifecycle.
  • Architect and prototype bespoke, scalable data pipelines that meet the unprecedented scale, quality, and security requirements of foundation model training.
  • Deliver compelling, technically-grounded presentations and whiteboarding sessions that articulate how our solutions fundamentally improve research velocity and model performance.
  • Lead the execution of targeted proof-of-concept (POC) engagements, establishing data-driven success criteria that directly map to our customers' research objectives.
  • Develop reference architectures, technical documents and best practice guides that establish our company as a thought leader in the AI data ecosystem.
  • Serve as the primary technical liaison between our customers and our internal Product/Engineering teams, translating novel research needs into concrete product requirements.
Requirements
  • Master's or PhD in Computer Science, AI/ML, or a related technical field, or equivalent practical experience.
  • 8+ years of experience in a senior, customer-facing technical role such as Solutions Architecture, Technical Consulting, or Field Engineering.
  • 2+ years of hands-on experience architecting and building solutions in the AI/ML space, including a deep understanding of the modern ML lifecycle.
  • Proven experience with Generative AI, including a deep, practical understanding of foundation models, RAG, fine-tuning, and agentic architectures.
  • Experience architecting solutions for major cloud platforms (AWS, GCP, Azure).
  • Demonstrated ability to influence and build relationships with senior technical stakeholders (Principal Engineers, Research Scientists, VPs of Engineering).
  • A track record of leading complex technical projects (e.g., enterprise POCs, security reviews, and architectural assessments) from discovery to implementation.
  • Exceptional communication and presentation skills, with the ability to distil complex technical concepts for audiences ranging from researchers to executives.
  • Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.
  • Experience working in a high-growth AI startup or a hyperscalers AI division is a significant plus.

TELUS Values:
TELUS recognizes and embraces the importance of values in our ever-changing workplace.
To be successful, all applicants must demonstrate behaviors that are reflective of our values:
  • We passionately put our customers and communities first
  • We embrace changes and innovate courageously
  • We grow together through spirited teamwork

At TELUS, we are committed to diversity and equitable access to employment opportunities based on ability.
Equal Opportunity Employer:
At TELUS International, we are proud to be an equal-opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants' qualifications, merits, competence, and performance without regard to any characteristic related to diversity.
About Company:
TELUS Digital is the customer experience transformation partner to the world's most admired brands. Our diverse team weaves data, technology, and human ingenuity to deliver differentiated customer journeys, drive operational effectiveness, and scale AI solutions with meaningful value and positive impact.
We craft real-world solutions in the moments that matter, from customer acquisition to lifelong loyalty. Enabled by our global reach - spanning 78,000 experts in 33 countries - and deep industry expertise, we help over 600 organizations make the customer experience feel effortless.
Our solutions span Data & AI, Digital Experience & IT, CX Management and Trust & Safety. At the core of our innovation is Fuel iX™, an enterprise-grade generative AI platform that helps clients safely access and optimize leading LLMs to scale their own AI from pilot to production.
Equal Opportunity Employer Statement
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicant's qualifications, merits, competence and performance without regard to any characteristic related to diversity.

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