Key Takeaways
- Career opportunities – We outline eight emerging career paths in the artificial intelligence field, ranging from technical development to human-focused adoption roles.
- Core distinctions – Learn about specific day-to-day responsibilities, required skills, and the value of each AI position.
- Training – Discover how specialized, online academic programs, like the Generative AI in the Workplace Certificate from P.I.T., can provide the hands-on skills needed to become more effective in your current career and take on new responsibilities.
Getting Certified for AI
P.I.T. offers a 100% online Generative AI in the Workplace Certificate that spans 18 credits over two terms, giving students hands-on, project-based learning with multi-week Performance Labs. Our classwork prepares students to use AI responsibly, effectively, and strategically in diverse professional roles.
The certificate has been designed to help students and working professionals develop practical AI skills that they can apply in their current roles and across a variety of workplaces. Honing your generative AI skills can:
- Help you become more effective in your career
- Help you take on new responsibilities
- Prepare you as AI increasingly becomes integrated into the workplace
Students will learn prompt engineering techniques, data literacy and storytelling, AI-assisted communication, workflow applications, and how to best evaluate AI-generated output against potential bias and inaccuracies. By the end of the program, students will have the practical, real-world experience employers are seeking, and they will be well positioned for the current and future workplace.
The Rise of AI Careers in the Modern Workforce
The AI revolution is quickly changing how people work, communicate, and solve problems in diverse fields, with everything from healthcare to IT to manufacturing and many other sectors being impacted. Employers are now actively seeking workers who can use AI effectively and responsibly, and numerous career tracks have emerged in recent years.
Below, we document many emerging roles that are helping to transform diverse industries. With additional technical training and experience, individuals can advance on to some of these important, emerging roles.
Technical AI Roles: The Builders and Architects
- AI solutions specialist – These individuals build and integrate the actual AI tools a company uses for diverse tasks, which can include AI assistants, document intelligence systems, predictive analytics tools, and more. Core skills involve hands-on Python coding experience, an aptitude with cloud platforms (AWS, Azure, GCP), and ML frameworks. Workers also often handle end-to-end pipelines, APIs, and data prep.
- Prompt engineer – No AI system is infallible, and each one requires guidance by skilled operators to produce effective results. Prompt engineers create, test, and optimize conversation flows and system messages to produce high-quality output from LLMs. They’re responsible for building evaluation sets and guardrails by using A/B testing, analytical approaches, and necessary context.
Analytical AI Roles: The Data and Process Experts
- GenAI analyst – Identifying where to use AI is the first step toward an improved workflow, and GenAI analysts are tasked with identifying, designing, and evaluating generative AI use cases, mapping out workflows and testing various models while tracking key metrics and reducing errors. Valued skills include data literacy and an aptitude for experimentation.
- Workflow or automation specialist – Speed is the name of the game in many professions, and these AI specialists help to make business operations quicker and smoother. By mapping current workflows, identifying possible bottlenecks, and implementing automation solutions via APIs, RPA bots, and low-code/no-code platforms, these individuals help to redesign workflows for maximum efficiency alongside operations teams.
- Data and insights analyst – Raw data is vital, but it also needs to be turned into actionable recommendations for leaders, something individuals in the data and insights analyst role excel at. These team members process and clean data, build dashboards, identify key trends, and present AI insights to stakeholders, leveraging statistical thinking, SQL skills, and BI tools.
Adoption AI Roles: The Teachers and Advocates
- AI content specialist – Clear documentation and guides are needed so employees across an organization can benefit from accumulated knowledge. Individuals in this role create and optimize how-to guides, help center articles, role-specific playbooks, and prompt libraries, using instructional design and writing skills and a knowledge of AI abilities and limitations.
- AI adoption specialist – Companies that invest in AI need to make sure their employees actively engage with the systems, and AI adoption specialists make this possible via clear roadmaps, success metrics, training workshops, and risk compliance analysis. Key skills include enterprise software adoption experience, proficiency with prominent AI tools, communication, and project management.
- AI enablement manager – This senior leadership role partners with product, IT, security, and L&D teams to integrate AI into day-to-day workflows. They help with enablement strategies, certification paths, and cross-functional alignment within a company to make the organization AI ready.
FAQs on AI Careers
Do I need to be an expert programmer to get a job in artificial intelligence?
No. While some roles, like AI solutions specialist, require coding in Python, many careers like AI content specialist, AI adoption specialist, and workflow specialist instead focus heavily on aspects like instructional design, communication, process mapping, and change management.
What industries are currently hiring for generative AI certificate jobs?
Generative AI skills are incredibly versatile and transferable, and employers in varied fields are actively seeking these professionals. Some prominent sectors include healthcare, financial services, manufacturing, retail, and supply chain.
How long does it take to complete an online AI certification program?
Our program at P.I.T. is designed for working professionals, helping them get up and running quickly. You can earn your certificate fully online in as little as 22 instructional weeks across two terms.
Future-Proof Your Career with P.I.T.
Whether you want to build AI, analyze it, or teach others how to use it, becoming certified is the first step to a rewarding career. Apply to our program today to get started.
