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Manager Ai Automation Jobs in Nevada (NOW HIRING)

Virtusa Corporation

AI Architect

Las Vegas, NV · On-site

$60.25 - $79.25/hr

... M and BPM platforms. The ideal candidate will have strong expertise in autonomous AI systems, Google Cloud AI services, software development lifecycle automation, and enterprise application ...

S&T Bank

Lead Automation Engineer

Las Vegas, NV · On-site

$100 - $125/hr

This role ensures compliance and audit adherence, manages business continuity when automation fails, and leverages human‑at‑the‑helm AI technologies to maintain oversight and control. The ...

Click Bond

Operations Systems Analyst

Carson City, NV · On-site

$100 - $125/hr

... to database management, data conveyance mechanisms, graphical representation, and AI/Automation processes as well as applications. This role will support and work closely with all functional ...

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All JobsAi Automation JobsManager Ai Automation JobsManager Ai Automation Jobs in Nevada

Manager Ai Automation information

What does a manager AI automation do?

A Manager AI Automation oversees the implementation and management of artificial intelligence (AI) solutions that automate business processes. This role involves leading teams, coordinating projects, and ensuring that AI technologies are effectively integrated into existing workflows to drive efficiency and innovation. They also collaborate with stakeholders to identify automation opportunities, monitor outcomes, and ensure compliance with industry standards. Strong technical, project management, and leadership skills are essential for success in this position.

What are the key skills and qualifications needed to thrive as a manager AI automation, and why are they important?

To thrive as a Manager AI Automation, you need a strong background in computer science or engineering, experience with AI and machine learning, and proven leadership in managing technical teams. Familiarity with automation tools like UiPath or Blue Prism, cloud platforms such as AWS or Azure, and relevant certifications (e.g., Certified AI Practitioner) are highly valued. Exceptional problem-solving, project management, and communication skills help you effectively lead cross-functional teams and drive strategic initiatives. These competencies are vital for delivering innovative automation solutions that optimize business operations and align with organizational goals.

How does a manager AI automation typically collaborate with other departments within an organization?

A Manager of AI Automation regularly works cross-functionally, partnering with teams such as IT, operations, data science, and business units to identify automation opportunities and align project goals with organizational objectives. They facilitate communication between technical staff and non-technical stakeholders, ensuring that automation initiatives meet business needs while adhering to technical feasibility and compliance standards. Effective collaboration is key to managing expectations, driving adoption, and delivering successful AI automation solutions that create measurable value.

What is the difference between Manager Ai Automation vs Data Scientist?

AspectManager Ai AutomationData Scientist
Required CredentialsBachelor's or Master’s in Computer Science, Engineering, or related field; experience in AI/Automation projectsBachelor's or Master’s in Data Science, Statistics, Computer Science; proficiency in programming and statistical analysis
Work EnvironmentLeads teams, manages AI automation projects, collaborates with IT and business unitsAnalyzes data, develops models, interprets complex datasets, often in research or analytics teams
Industry UsageCommon in tech, manufacturing, finance, and automation-focused companiesWidely used across tech, healthcare, finance, and research sectors

The main difference is that a Manager Ai Automation oversees AI automation projects and manages teams, while a Data Scientist focuses on analyzing data and developing models. Both roles require technical skills, but their responsibilities and work environments differ significantly.

Is manager AI automation a high paying job?

Manager AI automation roles typically offer high salaries due to the specialized skills required, such as expertise in AI, machine learning, and automation tools. Compensation varies based on experience, industry, and location, but these positions are generally well-paid compared to many other tech roles.

What are the most commonly searched types of Ai Automation jobs in Nevada?

The most popular types of Ai Automation jobs in Nevada are:

What are popular job titles related to Manager Ai Automation jobs in Nevada?

For Manager Ai Automation jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Manager Ai Automation jobs in Nevada look for?

The top searched job categories for Manager Ai Automation jobs in Nevada are:

What cities in Nevada are hiring for Manager Ai Automation jobs?

Cities in Nevada with the most Manager Ai Automation job openings:

Manager Ai Automation jobs near you
Infographic showing various Manager Ai Automation job openings in Nevada as of August 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Carson City, NV • On-site

Other

Re-posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply