Looking to build your career in artificial intelligence while working on real-world enterprise technology? Kyndryl is hiring an Associate AI Engineer in Dallas, TX, offering an opportunity to work with AI, machine learning, cloud technologies, and intelligent automation. This role is a strong fit for candidates with a technical background who want to grow their AI engineering skills in a collaborative enterprise environment.
Job Overview
| Field | Details |
|---|---|
| Company Name | Kyndryl |
| Role | Associate AI Engineer |
| Qualification | Bachelor’s degree in Computer Science, Engineering, Information Systems, AI, or a related field |
| Job Location | Dallas, TX, USA |
| Salary | $63,000–$114,000 per year |
| Work Type | Hybrid |
| Job Type | Full-Time |
| Job Level | Associate / Entry-Level |
| Industry | Information Technology & AI |
Job Description
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
Selection Process
- Submit your online application and resume.
- Resume screening by the Kyndryl recruiting team.
- Initial recruiter or hiring-manager discussion.
- Technical interview covering AI, programming, and related technologies.
- Behavioral/culture-fit interview.
- Final selection and offer.
How to Apply
- Visit the official Kyndryl careers website or the applicable job listing.
- Search for Associate AI Engineer – Dallas, TX.
- Review the job requirements carefully.
- Prepare an updated resume highlighting your AI, programming, cloud, and technical skills.
- Complete the online application form.
- Submit your application and monitor your email for updates.
