Explore cutting-edge Systems Engineer II (Automation/AI) jobs and launch your career at the forefront of intelligent IT operations. This specialized role sits at the intersection of traditional systems engineering and the transformative power of artificial intelligence and automation. Professionals in these positions are the architects of efficiency, responsible for designing, implementing, and maintaining the automated platforms and AI-driven systems that empower modern enterprises to scale securely and intelligently. They move beyond routine maintenance to proactively build self-healing, predictive, and highly responsive IT environments. A Systems Engineer II focused on Automation and AI typically shoulders a broad range of responsibilities centered on streamlining and innovating internal processes. A core duty involves developing and maintaining robust automation workflows to eliminate manual, repetitive tasks across the business, directly enhancing productivity. This includes the administration and continuous iteration of Generative AI and agentic AI programs, seeking strategic opportunities to accelerate AI adoption organization-wide. These engineers collaborate closely with IT security and operations teams, particularly in advancing Identity and Access Management (IAM) programs, requiring a solid grasp of protocols like SAML and SCIM. They provide escalated technical support, ensure seamless integration of various SaaS and cloud services, and are tasked with creating comprehensive documentation and training to foster effective system use. To excel in these jobs, candidates generally possess a blend of deep technical expertise and a strategic, problem-solving mindset. Typically, employers seek individuals with several years of experience in systems administration or engineering, with a proven track record in automation. Foundational skills include strong scripting proficiency in languages like Python, PowerShell, or Bash, and experience with automation platforms such as Workato or similar integration tools. A working understanding of Agentic and Generative AI concepts is increasingly essential. Practical knowledge of IAM tools (e.g., Okta, Microsoft Entra ID), cloud environments (AWS, Azure, GCP), and configuration management solutions (Intune, JAMF) is standard. Familiarity with ITIL practices, ITSM tools, and core networking concepts rounds out the technical profile. Crucially, successful professionals in these jobs are naturally curious, enjoy deconstructing complex technical challenges, and are driven to build scalable, secure, and automated futures. If you are passionate about leveraging AI to redefine system reliability and operational intelligence, exploring Systems Engineer II (Automation/AI) jobs is your next strategic career move.
