AI jobs in the U.S. government are rapidly expanding, with initiatives like Tech Force aiming to hire 1,000 specialists to accelerate AI implementation across federal agencies. Key roles include AI specialists, data scientists, machine learning engineers, and researchers, with high salaries ($89k–$200k+) in agencies like the Departments of Treasury, Navy, and NIST.
These roles often require skills in Python, AI/ML framework development, data analysis, and cybersecurity, with a focus on building safe and ethical AI for public sector use.
But breaking into cybersecurity or AI can feel overwhelming, especially with so much conflicting advice online. In our latest podcast episode, we sat down with Dr. Gerald Auger, a cybersecurity leader, educator, and founder of the Simply Cyber community, to cut through the noise and focus on what actually works.
With over 20 years of experience across cybersecurity operations, leadership, and higher education, Dr. Auger shared practical guidance for anyone looking to launch or level up a technical career. We talked about the foundational skills employers care about most, how AI is reshaping cybersecurity roles, and why hands-on experience and community involvement often matter more than chasing every new certification.
Dr. Auger also offered honest insights into common mistakes job seekers make, from relying too heavily on job boards to underestimating the power of personal branding and networking. For veterans and career switchers, he emphasized translating experience into business value and treating the job search like a mission with clear objectives and accountability.
Whether you’re just starting out, transitioning from the military, or navigating the next step in your tech career, this episode delivers clear, actionable advice to help you move forward with confidence.
🎧 Listen to the full episode to learn how to build a cybersecurity or AI-adjacent career that lasts.
Check out all of the Artificial Intelligence career opportunities at ClearanceJobs.com here.
