I’m currently at a crossroads in my career and would appreciate your input.I have a background in innovation, transformation, leadership development, coaching, and management consulting in fast-moving, innovation-driven environments. I hold a MSc (IT) and a BSc in Psychology, and I’m passionate about the intersection of technology, human development, and creating a positive impact in the world. Given where AI is heading I'm uncertain on the way. What paths do you see for someone like me?

As a software developer, my core focus has been on AI, I’ve been deeply invested in the field for the past few years. Most of my recent work centers around Agentic AI and multi-agent systems, and I’ve developed several hands-on projects that reflect a strong understanding of these areas. I’m looking to take the next step in my journey, which I feel is me entering the AI field. I'd greatly appreciate any insight on further areas you all think I should develop in, certificates, projects, etc.

Given the rapid growth of the AI industry and the potential risk of job displacement within the next 7-10 years, it is crucial for us to proactively identify and prepare for alternative career paths. By doing so, we can ensure financial stability and career security in a rapidly changing employment landscape. The question we must ask ourselves is: which secondary skills or jobs should we start developing now to stay ahead of the curve and secure our future? I appreciate your thoughts.

Something that may be of help to beat AI at least on the LinkedIn side of things is to only look at jobs posted within the past hour so you have the best opportunity to get your foot in the door. In the link: https://www.linkedin.com/jobs/search-results/?f_TPR=r3600&f_SB2=6&f_WT=2&keywords=Hiring%20Agile%20Scrum%20Master%20Remote you see were it says "=r3600", that indicates positions posted within the past 3600 seconds (1 hour). Change the keywords to fit what you are looking for!

I graduated in May with a bachelor’s in Software Engineering and a minor in Cybersecurity from St. Cloud State University. While still job hunting, I want to focus on one area for my future career—ideally something less likely to be replaced by AI. I’m considering Cloud Computing, Data Science, Cybersecurity, or UX Design, but I’m unsure which is most future-proof. My goal is to choose a path that offers long-term demand, growth, and stability in an AI-driven world.

I had an interview for a manager position and in the interview the hiring manager asks what drew me to the role. I said something along the lines of “I like the fact that I’d have ability to more directly influence strategy”. He then told me that all strategy is done by AI and the way I would impact strategy would be to train the model different things. It made me feel defeated. Is this our future, the skills we built throughout our careers all being channeled through AI?

AI/ML Engineer | 4 Years of Experience I am a results-driven AI/ML Engineer with over four years of professional experience in developing intelligent systems and data-driven solutions. My work focuses on transforming complex data into actionable insights and building machine learning models that deliver measurable business value. I am currently seeking opportunities where I can contribute my skills, grow professionally, and work on innovative AI-driven projects.

Over the past decade, my work has evolved from traditional predictive modeling to building reliable, compliant, and cost-efficient Large Language Model solutions. I’m now seeking opportunities to lead or contribute to advanced Generative AI initiatives, especially those involving hybrid RAG architectures, knowledge graphs, and fine-tuned open-source models like LLaMA 3 and Mistral. I’m excited to collaborate and engage in conversations shaping the future of AI.