Early Career Consult Program - Associate AI Engineer

Summary

Kyndryl designs, builds, manages, and modernizes mission-critical technology systems for organizations and their customers. The Associate AI Engineer supports the design, development, deployment, and optimization of artificial intelligence, machine learning, analytics, and data-driven solutions, with opportunities to specialize in AI Engineering or Data Engineering and Analytics.

Responsibilities

• 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
• 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
• Help evaluate model performance, response quality, scalability, and user experience
• Participate in testing, monitoring, and optimization of AI solutions
• Learn modern AI frameworks, cloud AI services, and software engineering practices
• Collect, cleanse, transform, validate, and prepare structured and unstructured data for AI and analytics solutions
• Use SQL, Python, and approved platform tools to query, manipulate, and analyze data
• Assist with exploratory data analysis to identify patterns, trends, insights, and data quality issues
• Support the creation of data workflows, reusable scripts, data pipelines, and data preparation processes
• Help prepare training data, features, and evaluation datasets for machine learning and AI initiatives
• Contribute to data governance, quality, lineage, and operational excellence practices
• Deliver high-quality work with increasing independence and technical proficiency
• Develop practical AI, software, and data engineering capabilities
• Contribute to solutions that improve business outcomes and user experiences
• Demonstrate sound judgment, curiosity, and continuous learning
• Collaborate effectively across multidisciplinary teams
• Consistently apply security, governance, privacy, and responsible AI practices in your work

Skills

• * Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related discipline, or equivalent practical experience
• * 0-3 years of experience in software engineering, AI, machine learning, data engineering, analytics, or related technical fields
• * Working knowledge of Python or a similar programming language
• * Basic understanding of software development principles and problem-solving techniques
• * Familiarity with data structures, databases, APIs, cloud technologies, or modern development tools
• * Strong analytical, communication, collaboration, and documentation skills
• * Demonstrated curiosity and interest in emerging AI and data technologies
• * Exposure to Microsoft Azure, Azure AI Services, Azure OpenAI, AWS, Google Cloud, or similar platforms
• * Familiarity with AI, machine learning, generative AI, large language models, retrieval systems, or intelligent automation
• * Exposure to SQL, data analysis, data preparation, ETL/ELT, or data pipeline concepts
• * Experience with Git, CI/CD, Docker, DevOps, MLOps, or software engineering practices
• * Knowledge of visualization, reporting, or business intelligence tools
• * Relevant certifications in AI, cloud, data, or software engineering technologies
• * Understanding of responsible AI, data privacy, security, and governance principles

Qualifications

Must Haves

• * Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related discipline, or equivalent practical experience
• * 0-3 years of experience in software engineering, AI, machine learning, data engineering, analytics, or related technical fields
• * Working knowledge of Python or a similar programming language
• * Basic understanding of software development principles and problem-solving techniques
• * Familiarity with data structures, databases, APIs, cloud technologies, or modern development tools
• * Strong analytical, communication, collaboration, and documentation skills
• * Demonstrated curiosity and interest in emerging AI and data technologies

Nice to Haves

• * Exposure to Microsoft Azure, Azure AI Services, Azure OpenAI, AWS, Google Cloud, or similar platforms
• * Familiarity with AI, machine learning, generative AI, large language models, retrieval systems, or intelligent automation
• * Exposure to SQL, data analysis, data preparation, ETL/ELT, or data pipeline concepts
• * Experience with Git, CI/CD, Docker, DevOps, MLOps, or software engineering practices
• * Knowledge of visualization, reporting, or business intelligence tools
• * Relevant certifications in AI, cloud, data, or software engineering technologies
• * Understanding of responsible AI, data privacy, security, and governance principles

Benefits

• Eligible for Kyndryl's discretionary annual bonus program, based on performance and subject to the terms of Kyndryl's applicable plans.
• Medical and dental coverage
• Disability benefits
• Retirement benefits
• Paid leave
• Paid time off
• Employee learning programs with access to industry learning and certifications, including Microsoft, Google, Amazon, Skillsoft, and many more
• Company-wide volunteering and giving platform to donate, start fundraisers, volunteer, and search over 2 million non-profit organizations