Artificial intelligence is reshaping the way we solve problems, make decisions and create value. At WTW, it creates opportunities for people who can combine technology, curiosity and problem-solving to turn AI into practical solutions.
As interest in artificial intelligence careers continues to grow, many candidates have questions about the skills they need, the types of opportunities available and how to prepare for jobs in AI.
Whether you are starting your AI career or are an experienced professional looking for your next challenge, understanding what our recruiters value can help you take the next step with confidence.
Read this article to learn more about AI careers at WTW.
The AI skills WTW recruiters are looking for
One of the biggest misconceptions about artificial intelligence jobs is that candidates need to be experts in every AI technology before they apply.
In reality, recruiters often look for a combination of technical and transferable skills. Depending on the role, useful experience may include:
- Data analysis and problem solving
- Programming and technical fundamentals
- Understanding of data and analytics concepts
- Curiosity and continuous learning
- Communication and collaboration skills
- The ability to translate complex information into practical insights
Sameshra Salunke, a recruiter based in India, usually looks for candidates who have taken their work beyond experimentation:
“Many people have built a prototype, so it stands out when someone has seen a solution through to production and can talk about what it took. Depending on the role, that could involve GenAI and LLMs, RAG, agentic frameworks, Python, APIs, cloud and DevOps.”
And as AI continues to evolve rapidly, making curiosity, adaptability and continuous learning are just as important as technical expertise.
Candidates who demonstrate a willingness to learn, explore and adapt to new technologies can stand out throughout the hiring process.
As Marilyn D’Souza, another recruiter based in India, points out:
“It's important to know how candidates have used AI tools to improve work efficiency or how they handle pressure and stress at work. These insights are invaluable for building a workforce that is ready for the future.”
Our recruiters also recognize that career opportunities in artificial intelligence can come from many different educational and professional backgrounds.
Some candidates enter the field through technology, while others bring experience from analytics, business, engineering or consulting.
Common myths about jobs in AI
If you're considering jobs in AI, you may have encountered some common myths that can make the field seem intimidating, such as:
Myth 1: You need a computer science degree to work in AI.
While technical education can be valuable, AI teams often include people with diverse academic and professional backgrounds.
As Isael Rodrigues, a recruiter based in Lisbon, explains:
“What I would like candidates to know is that curiosity, continuous learning and adaptability are just as important as technical skills when building a career in AI.”
This reflects the reality of a fast-changing field where professionals are constantly learning new tools, technologies and ways of working.
Myth 2: Artificial intelligence jobs are only for experienced professionals.
Many candidates begin developing relevant skills through education, internships, graduate programs or adjacent technology roles.
Myth 3: AI is replacing human expertise.
AI is often most effective when combined with human judgment, creativity and critical thinking. Organizations continue to need people who can interpret insights, solve problems and collaborate with stakeholders.
Myth 4: You need many years of experience to get a job in AI
According to Ralph Adrian Geronimo, a recruiter based in the Philippines, the idea that candidates need years of experience to pursue a career in AI is a common misconception:
“Hiring teams often prioritize practical skills, hands-on project work and the ability to apply AI concepts. I encourage candidates to focus on showcasing their impact, adaptability and technical capabilities, as these are often key factors in hiring decisions.”
Why you should build an artificial intelligence career here
Many professionals exploring artificial intelligence careers are looking for more than a role focused on a single technology. They want opportunities to apply their skills to real business challenges, learn from experienced colleagues and continue growing as the field evolves.
WTW is a global organization with more than 49,000 colleagues across 140+ countries and markets, creating opportunities to collaborate with teams, clients and experts from different backgrounds. As we continue to expand our AI and technology capabilities, we are hiring AI professionals in multiple locations around the world, offering opportunities to contribute to projects that support innovation, decision-making and innovative business outcomes.
Whether you are starting your AI career or bringing years of experience, you will work alongside colleagues who share knowledge, challenge ideas and help drive progress.
According to Clare Lewis, Global Recruiting Lead, artificial intelligence will continue to shape the future of our recruitment decisions:
“There will continue to be a keen desire to explore and leverage AI technologies to enable data-driven decisions.”
For many professionals, an AI career is part of a broader journey that combines technology, innovation and human expertise.
Here, candidates can explore opportunities that help them develop new skills, work with global teams and contribute to solutions that make a measurable impact.
To learn more about opportunities in technology, read our blog: All you should know about tech careers at WTW.
How to find job opportunities in artificial intelligence at WTW
If you're interested in artificial intelligence job opportunities, start by regularly exploring openings on our website.
Relevant opportunities may sometimes be found under keywords such as:
- Analytics
- Artificial Intelligence
- AI
- Business Systems
- Cloud
- Cybersecurity
- Data Science
- Infrastructure
- Software Engineering
- Technology
When reviewing a position, focus on the required skills, experience and responsibilities rather than only the job title. Many AI-related opportunities don't always include “AI” in the job title.
Explore roles across artificial intelligence, data science, analytics, software engineering, cloud and technology and look beyond the title to the skills, responsibilities and problems you'll have the opportunity to solve. That's why it's important to look at the broader scope of the opportunity.
Start your artificial intelligence career here
Artificial intelligence careers continue to evolve, creating new possibilities for candidates who are ready to learn, adapt and contribute.
Whether you're taking your first steps into technology, building specialized experience or looking for your next challenge, developing related skills can open doors to exciting artificial intelligence job opportunities.
Explore current jobs in AI on our website and find a role that aligns with your ambitions. Apply today and start a career that moves you at WTW.
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