Automation is revolutionizing the world of work, creating new possibilities and redefining traditional job roles. While this may seem scary or like jobs will be replaced, according to the World Economic Forum’s 2023 Future of Jobs Report, that’s not the case. 


New technologies, AI, machine learning, and other forms of automation will cause some displacement within the workforce. However, the key takeaway is that these technologies will also create even larger job growth elsewhere for a net positive over the next five years. 


If you're considering a career change or pursuing a field with immense growth potential, the landscape of automation offers a wide range of opportunities. 


From jobs that focus on streamlining manufacturing processes to those exploring AI and machine learning, this article from the team at One Tech Staffing details the top five automation careers on the rise, their required skills, and strategies to make a successful transition.

1. Automation Engineer

An Automation Engineer is responsible for the planning, creation, and maintenance of automated systems and machinery. 


They design and develop complex automated control systems using technology such as programmable logic controllers (PLCs) and supervisory control and data acquisition (SCADA) systems. 


This role often involves working closely with other engineers to streamline production processes and improve overall efficiency.

Key Responsibilities

  • Analyzing customer requirements and translating them into automated solutions

  • Developing control and monitoring systems for manufacturing plants

  • Integrating mechanical and electronic systems to optimize performance

  • Troubleshooting and maintaining automation systems to ensure continuous operation

Necessary Skills & Qualifications

An Automation Engineer typically needs a bachelor's degree in electrical engineering or a related field, with a strong foundation in mathematics and physics. They must possess:


  • Proficiency in programming languages such as C++, Java, or Python

  • Knowledge of automation technologies and control theory

  • Understanding of hardware integration and system design

  • Strong analytical and problem-solving skills

Salary & Growth Projection

The average salary for Automation Engineers ranges from $70,000 to $130,000, with a projected job growth rate of around 4%.

2. Robotics Process Automation Specialist

In an era where repetitive, rule-driven tasks can now be left to software, the role of the Robotics Process Automation (RPA) Specialist has emerged. RPA specialists develop scripts and bots to automate these tasks, reducing the margin of error and increasing efficiency.

Key Responsibilities

  • Gathering and analyzing business process details to identify automation opportunities

  • Developing RPA solutions using tools like UiPath, Automation Anywhere, or Blue Prism

  • Testing and deploying RPA systems

  • Providing support and maintenance for automated processes

Necessary Skills & Qualifications

A degree in computer science or a related field, along with the following skills, is typically required for this role:


  • Proficiency in one or more programming languages (e.g., Python, Java, C#)

  • Expertise with RPA software and process analysis

  • Strong problem-solving abilities and attention to detail

  • Communication and consulting skills to work with various stakeholders

Salary & Growth Projection

RPA Specialists can expect an average salary of $100,000 to $120,000, with an industry growth projection of 63%.

3. Artificial Intelligence or Machine Learning Engineer

The AI/ML Engineer is at the forefront of creating technologies that can learn, adapt, predict, and automate complex decision-making processes. They design machine learning models, develop algorithms, and build systems that can see, hear, and understand human language.

Key Responsibilities

  • Designing and implementing machine learning algorithms for various applications

  • Developing and maintaining AI systems within a specific field (e.g., healthcare, finance)

  • Working with big data and cloud technologies to train and deploy models

  • Collaborating with cross-functional teams to integrate AI into products and services

Necessary Skills & Qualifications

A master's or Ph.D. in computer science, engineering, or a related field is the typical pathway to an AI/ML engineering career. Essential skills include:


  • Expertise in machine learning frameworks and libraries like TensorFlow, PyTorch, or scikit-learn

  • Proficiency in programming languages such as Python or R

  • Understanding of deep learning algorithms and neural networks

  • Understanding of data modeling and databases

Salary & Growth Projection

AI/ML Engineers command an average salary of $120,000 to $165,000, with job growth expected to be over 186%.

4. Data Scientist

Data scientists are professionals who collect, analyze, and interpret complex data from a variety of sources with the goal of informing business decision-making. They use advanced analytics, AI, and Machine Learning techniques to interpret trends and solve strategic business challenges.

Key Responsibilities

  • Collecting and interpreting large datasets using statistical methods

  • Designing and creating data models to mine and analyze patterns

  • Using data visualization tools to present findings and insights

  • Collaborating with stakeholders to understand business needs and opportunities

Necessary Skills & Qualifications

A master's degree or Ph.D. in statistics, economics, mathematics, computer science, or information technology is standard for this role. Key skills required include:


  • Proficiency in statistical programming languages like Python or R

  • Experience with database technologies and big data platforms

  • Knowledge of machine learning algorithms and techniques

  • Analytical thinking and problem-solving skills

Salary & Growth Projection

Data Scientists earn an average of $110,000 to $140,000, with a growth rate of 15%.

5. Cybersecurity Analyst

The increasingly automated and digital business world requires an enhanced focus on protecting systems, networks, and data. Cybersecurity Analysts employ various technologies and processes to prevent, detect, and respond to security breaches.

Key Responsibilities

  • Monitoring security access and conducting regular security assessments

  • Developing security standards and best practices for the organization

  • Investigating security breaches and other cyber incidents

  • Creating incident reports and implementing security solutions

Necessary Skills & Qualifications

A bachelor's or master's degree in computer science, cybersecurity, or a related field is usually required. Important skills and knowledge include:


  • Proficiency in programming languages and scripts

  • Understanding of cybersecurity frameworks and compliance standards

  • Analytical skills to recognize security vulnerabilities

  • Knowledge of network protocols and cybersecurity technologies

Salary & Growth Projection

Cybersecurity Analysts can expect an average salary of $90,000 to $120,000, with a growth projection of 32%.

How to Transition into an Automation Career

Transitioning into an automation career can be a strategic move for individuals with the right aspirations and mindset.

Start With Upskilling or Reskilling Paths

Consider enrolling in online courses from platforms like Coursera, Udemy, or LinkedIn Learning, which offer programs in AI, machine learning, and data science.


Then pursue certifications in automation tools and technologies such as RPA or AI or participate in bootcamps or workshops that focus on in-demand automation skills.


Getting certifications looks good on a resume and shows that you’ve taken the steps necessary to transition into these technology roles. 

Network & Join Professional Associations

Join professional organizations like the Association for the Advancement of Artificial Intelligence (AAAI) or the Institute of Electrical and Electronics Engineers (IEEE). Or find smaller chapters or organizations closer to you. 


Also, it’s a good idea to attend industry conferences, workshops, and webinars to network and stay updated on the latest trends in automation.

Job Search Strategies

Start by tailoring your resume to highlight relevant skills, projects, and certifications in automation. Check out our blog to get more tips on how to refresh your resume anytime. 


Leverage professional social media platforms like LinkedIn to connect with industry professionals and find job opportunities.


Prepare for interviews by practicing coding challenges, rehearsing technical questions, and discussing relevant projects.

Start Your Career in Automation

The domain of automation careers is not only vast but also rapidly evolving. The key to success in the field lies in continuous learning, developing a strong network, and positioning oneself for the most in-demand roles. 


Ready to switch to or start your career in the automation industry? Let One Tech help you make the transition by providing the resources you need and connecting you with established employers. 


Check out our job board to see what’s immediately available, and don’t hesitate to submit your resume to us to help you track down exactly the right employer for you!