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Strong brand, metro location, and common 2–4 year mid-level generalist title increase applicant competition.
Applied AI and automation engineering skills are broadly transferable across industries, reducing background sensitivity.
Explicit 2–4 year requirement plus specific GenAI, automation, and cloud skills enforce moderate shortlisting strictness.
Develop scalable AI and automation solutions to streamline manual processes and improve operational efficiency using enterprise platforms.
Design secure, compliant, and performance-optimized automation solutions; perform testing, deployment, production support, and incident resolution.
Collaborate with architects, product and business teams in Agile settings; create reusable components, maintain documentation, and manage assigned projects with risk escalation.
Bachelor’s degree in Computer Science or related field (Master’s preferred).
2–4 years of experience in automation, AI, or software engineering within enterprise automation or CoE environments.
Technical skills in Python, JavaScript, REST APIs, OAuth authentication, Generative AI platforms, Microsoft 365 Copilot, and cloud services (Azure, AWS).
Work Experience Required: 2–4 years in relevant automation/AI/software engineering roles.
Experienced working in enterprise automation or Center of Excellence environments, focusing on scalable AI and automation solution delivery.
Comfortable operating within Agile teams with a focus on governance, architecture standards, and continuous improvement.
Technically proficient in integrating AI capabilities and automation tools into business workflows, supported by strong programming and cloud services exposure.