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Early Career Consult Program - Associate AI Engineer
Kyndryl
USA
Full-time
Entry · 0–3 years experience
Onsite
Discovered Today
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Your role
- The 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 Path
- Build, 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 Path
- Prepare, 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 Do
- Core 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 procedures.
- Apply security, governance, privacy, compliance, and responsible AI standards in all work.
- Build expertise in modern cloud, AI, and data technologies through hands-on learning and project experience.
- AI Engineering Focus
- Support the development of AI, machine learning, and generative AI applications.
- Assist in building intelligent agents, conversational experiences, retrieval-augmented generation (RAG) solutions, and AI-assisted workflows.
- Develop and maintain application components, APIs, integrations, and automation capabilities.
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