Early Career Consult Program - Associate AI Engineer

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

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.

Kyndryl currently does not require employees to be fully vaccinated against COVID-19, however, if you are hired to work at a client, customer, or partner location, you may be required to show proof of vaccination to align with their respective 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.

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

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!
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.