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Early Career Consult Program - Associate AI Engineer
Kyndryl · Dallas, TX · Brasil
Publicada em 25/09/2026
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Who We AreAt Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.The RoleYour roleThe Associate AI Engineer is an entry-level technical role supporting the design, development, deployment, and optimization of artificial intelligence, machine learning, analytics, and data-driven solutions. Working alongside experienced AI Engineers, Data Engineers, Data Scientists, Solution Architects, and business stakeholders, you will develop foundational skills in modern AI technologies, cloud platforms, software engineering, data engineering, analytics, and responsible AI practices.Join Kyndryl and gain the trust, autonomy and teamwork to help define what comes next.This role offers two areas of specialization within a common AI Engineering career framework:AI Engineering PathBuild, test, and deploy AI-powered applications, generative AI solutions, intelligent agents, and machine learning capabilities that help solve business challenges and improve user experiences.Data Engineering & Analytics PathPrepare, manage, and optimize the data foundations that power AI, machine learning, analytics, and business intelligence solutions.Candidates may begin in one focus area but will gain exposure to both disciplines as they develop their careers.What You'll DoCore Responsibilities (All Associates)Collaborate with technical teams and business stakeholders to understand requirements and support AI-enabled business outcomes.Contribute to the design, development, testing, deployment, and support of AI and data solutions.Participate in agile development practices, code reviews, troubleshooting, and continuous improvement activities.Document technical solutions, data sources, workflows, assumptions, and operational pr
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