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
The compensation for this position is $77,000 based on a full-time schedule. The pay or salary range is not below any applicable state, city or local minimum wage requirement.
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.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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.
