COVID-19

vaccination policies. Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment. Who You Are Required skills and experience 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. Preferred Qualifications 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. Key Skills Common Skills Problem solving and analytical thinking Python programming Cloud platform fundamentals Technical documentation Collaboration and communication Responsible AI and technology governance AI Engineering Skills Generative AI and large language model fundamentals AI application development Intelligent agents and automation Prompt engineering and AI solution testing APIs and system integration Machine learning concepts Data Engineering & Analytics Skills SQL and data querying Data preparation and transformation Data quality and validation Exploratory data analysis Data pipelines and workflows Analytics and business insights generation What Success Looks Like As an Associate AI Engineer, you will: 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 The compensation range for the position in the U.S. is - $63,360 to $114,120 based on a full-time schedule. Your actual compensation may vary depending on your geography, job-related skills and experience. For part time roles, the compensation will be adjusted appropriately. The pay or salary range will not be below any applicable state, city or local minimum wage requirement. There is a different applicable compensation range for the following work locations: California (San Francisco Bay Area) :$76,080 to $137,040 California (All Other): $69,720 to $125,640

Colorado:

$63,360 to $114,120

Massachusetts/Virginia:

$63,360 to $125,640

New York City:

$76,080 to $137,040

Washington:

$69,720 to $125,640

Washington DC:

$69,720 to $125,640 This position will be eligible for Kyndryl's discretionary annual bonus program, based on performance and subject to the terms of Kyndryl's applicable plans. You may also receive a comprehensive benefits package which includes medical and dental coverage, disability, retirement benefits, paid leave, and paid time off.

Note:

If this is a sales commission eligible role, you will be eligible to participate in a sales commission plan in lieu of the annual discretionary bonus program. Applications will be accepted on a rolling basis. Being You Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! 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Early Career Consult Program - Associate AI Engineer