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Day Shift Intelligent Automation Jobs (NOW HIRING)

Autodesk

Proven ability to design and deliver intelligent automation tools, internal applications, or ... Amazing things are created every day with our software - from the greenest buildings and cleanest ...

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Day Shift Intelligent Automation information

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$37.5K

$45.6K

$71K

How much do day shift intelligent automation jobs pay per year?

As of Jul 17, 2026, the average yearly pay for day shift intelligent automation in the United States is $45,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $42,000.00 per year, depending on experience, location, and employer.

Which 5 jobs will survive AI?

In the context of Day Shift Intelligent Automation, jobs that require complex decision-making, emotional intelligence, creativity, and human interaction are more likely to survive AI automation. Roles such as healthcare professionals, skilled technicians, managers, sales specialists, and creative designers are less susceptible to automation due to their reliance on nuanced judgment and interpersonal skills.

What jobs can I get with AI automation?

With AI automation skills, you can pursue roles such as automation engineer, AI developer, machine learning engineer, data analyst, or robotic process automation (RPA) specialist. These jobs typically require knowledge of programming languages like Python, understanding of AI tools, and experience with process optimization in various industries.

Is AI eliminating white-collar jobs?

In the context of Day Shift Intelligent Automation roles, AI is automating routine tasks traditionally performed by white-collar workers, which can lead to job displacement in some areas. However, these roles also require skills in managing, developing, and overseeing automation systems, creating new opportunities for professionals with technical expertise. Overall, AI transforms job functions rather than completely eliminating white-collar jobs, emphasizing the need for continuous skill development.

What is the difference between Day Shift Intelligent Automation vs Day Shift Robotics Technician?

AspectDay Shift Intelligent AutomationDay Shift Robotics Technician
Required CredentialsCertifications in automation, programming, or related fieldsTechnical diploma or certification in robotics or automation
Work EnvironmentManufacturing or industrial settings focusing on process automationIndustrial or manufacturing facilities working on robotic systems
Employer & Industry UsageUsed across industries for process efficiency and automationPrimarily in manufacturing plants operating robotic equipment
Common Search & ComparisonOften compared for automation roles requiring programming skillsCompared for hands-on robotic system maintenance and repair

Day Shift Intelligent Automation professionals focus on designing, implementing, and managing automation systems using software and AI tools, while Day Shift Robotics Technicians primarily handle the installation, maintenance, and repair of robotic hardware. Both roles are essential in modern manufacturing but differ in their technical focus and daily tasks.

Which 3 jobs will survive AI?

Day Shift Intelligent Automation roles are likely to persist for jobs that require complex problem-solving, emotional intelligence, and creative thinking, such as healthcare professionals, skilled tradespeople, and managerial positions. These roles depend on human judgment, interpersonal skills, and adaptability that AI currently cannot fully replicate.
More about Day Shift Intelligent Automation jobs
What cities are hiring for Day Shift Intelligent Automation jobs? Cities with the most Day Shift Intelligent Automation job openings:
What states have the most Day Shift Intelligent Automation jobs? States with the most job openings for Day Shift Intelligent Automation jobs include:
What job categories do people searching Day Shift Intelligent Automation jobs look for? The top searched job categories for Day Shift Intelligent Automation jobs are:
Day Shift Intelligent Automation jobs near you
Infographic showing various Day Shift Intelligent Automation job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $45,556 per year, or $21.9 per hour.

Playwright Intelligent Automation Lead

Aspire Systems Digital Transformation Inc

Dublin, CA • On-site

Other

Posted 29 days ago

Job description

Role: Playwright Intelligent Automation Lead

Location: Dublin, CA
Work Mode: Hybrid (3 days/week in office – Tuesday, Wednesday, and Thursday)
Contract Duration: 6 Months

Experience Required:
  • Lead: 8+ Years
  • Sr. Lead: 10+ Years
Role Summary

We are seeking a visionary AI Lead to drive the development of next-generation intelligent automation solutions. In this role, you will design, build, and scale AI Copilots and Agentic Workflows by integrating Large Language Models (LLMs) with browser automation using Model Context Protocol (MCP) and Playwright.

You will play a key role in bridging AI capabilities with real-world automation systems, while leading technical teams and ensuring solution scalability and reliability.

Key Responsibilities
  • Lead the architecture and design of MCP-based agentic workflows, AI copilots, and Playwright automation frameworks
  • Define and enforce engineering standards, governance practices, and security guidelines
  • Drive technical decision-making, including architecture reviews and risk assessments
  • Collaborate with business stakeholders, clients, and delivery teams to align technology with business objectives
  • Provide technical leadership, mentoring, and guidance to engineering teams
  • Research and evaluate emerging AI technologies, tools, and frameworks for adoption
  • Support project planning, estimation, resource allocation, and risk management
Required Skills & Experience
  • Proven experience with Model Context Protocol (MCP) (building or integrating MCP servers and clients)
  • Strong hands-on experience with LLM ecosystems, including:
    • LLM APIs
    • Prompt engineering
    • Function calling
    • Agent frameworks (e.g., LangChain, AutoGen, CrewAI)
  • Deep expertise in Playwright automation framework development and architecture
  • Strong understanding of AI agents, agentic workflows, and LLM integrations
  • Proficiency in TypeScript, along with JavaScript or Python
  • Experience working with cloud platforms and API integrations
  • Proven ability to lead technical teams and deliver large-scale implementations

Apply