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Strong employer brand, mid-level experience requirement, and metro location increase applicant competition.
Core AI engineering skills are transferable, but professional-services domain knowledge increases specialization moderately.
Explicit 4+ years and required AI integrations narrow the pool, though no strict certifications mandated.
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Design and implement AI-driven automations leveraging generative AI, agent-based frameworks, and workflow orchestration to optimize Actimize Professional Services delivery.
Build and maintain secure API integrations across enterprise systems such as CRM, project management, and delivery tools to enable scalable, reusable automation components.
Execute and track AI automation initiatives aligned with ROI and cost optimization goals, embedding solutions into existing professional services workflows and supporting adoption and governance.
4+ years experience in automation, systems integration, or software engineering roles.
Hands-on experience designing AI-enabled solutions including generative AI, agent-based architectures, and workflow automation.
Strong experience with enterprise system integrations using APIs and event-based architectures.
Experience in professional services, consulting, or delivery organizations preferred.
Ability to translate business requirements into scalable technical AI automation solutions within professional services environments.
Experience working with AI governance, risk, and compliance frameworks to ensure secure, compliant enterprise AI implementations.
Operates effectively in roles requiring collaboration with technical and non-technical stakeholders, supporting adoption and scalability of AI automations across diverse teams.