Job Description

Who We Are

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.

The Role

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.
• 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.

Data Engineering & Analytics Focus

• 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.

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

Being You

The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way.

What You Can Expect

Your career with us isn’t just a job—it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best.

From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.

We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success.

We want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next.

Get Referred!
If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.