About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Information Technology & Services.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Who We Are

Confidential Client delivers mission-critical technology services and modern IT solutions for large enterprises. We design, build, manage, and modernize the systems organizations depend on every day. This Early Career Consult Program provides structured, hands-on learning and career development in AI engineering and data foundations.

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Work Requirements & Location

Confidential Client requires that applicants are legally authorized to work in the United States without restriction now and in the future. Confidential Client will not sponsor employment visas for this role. This position is on-site at the Frisco, TX office and requires working at the Frisco office five days per week.

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What You’ll Do

This entry-level Associate AI Engineer role supports the design, development, deployment, and optimization of AI, ML, analytics, and data-driven solutions. You will work alongside engineers, data scientists, architects, and business stakeholders to deliver production-ready components and learn modern engineering practices.

• Collaborate with technical teams and stakeholders to understand requirements and deliver AI-enabled outcomes
• Contribute to design, development, testing, deployment, and support of AI and data solutions
• Participate in agile practices, code reviews, troubleshooting, and continuous improvement
• Document technical designs, data sources, workflows, assumptions, and runbooks
• Apply security, governance, privacy, compliance, and responsible AI principles to your work
• Build hands-on expertise in cloud, AI, and data technologies through project work and learning

AI Engineering Focus

• Support development of AI/ML and generative AI applications and intelligent agents
• Assist with APIs, integrations, automation, and retrieval-augmented generation (RAG) solutions
• Help evaluate model performance, response quality, scalability, and user experience
• Participate in testing, monitoring, and optimization of models and services

Data Engineering & Analytics Focus

• Collect, cleanse, transform, validate, and prepare structured and unstructured data
• Use SQL, Python, and platform tools to query, manipulate, and analyze data
• Assist with exploratory data analysis to identify patterns, trends, and quality issues
• Support creation of ETL/ELT workflows, reusable scripts, and data pipelines
• Help prepare training datasets, features, and evaluation data for ML initiatives

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Who You Are — Required

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or equivalent practical experience
• 0–3 years of experience in software engineering, AI/ML, data engineering, analytics, or related 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 fundamentals, or modern development tools
• Strong analytical, written, and verbal communication skills
• Demonstrated curiosity and interest in emerging AI and data technologies

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Preferred Qualifications

• Exposure to Microsoft Azure (Azure AI Services/Azure OpenAI), AWS, or Google Cloud
• Familiarity with generative AI, LLM fundamentals, retrieval systems, or intelligent automation
• Experience with SQL, data preparation, ETL/ELT, and data pipeline concepts
• Familiarity with Git, CI/CD, Docker, DevOps, or MLOps practices
• Knowledge of visualization / BI tools and relevant certifications
• Understanding of responsible AI, data privacy, security, and governance

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Key Skills

• Problem solving and analytical thinking
• Python programming and basic software engineering
• SQL and data querying
• Technical documentation and collaboration
• Cloud platform fundamentals and responsible AI practices

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What Success Looks Like

• Delivers high-quality work with increasing independence and technical proficiency
• Demonstrates practical AI, software, and data engineering capabilities
• Contributes to solutions that improve business outcomes and user experiences
• Shows sound judgment, curiosity, and continuous learning
• Collaborates effectively across multidisciplinary teams
• Consistently applies security, governance, privacy, and responsible AI practices

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Compensation & Benefits

• Base salary: $77,000 per year (full-time)
• Eligible for a discretionary annual bonus program based on performance
• Comprehensive benefits including medical, dental, disability, retirement, paid leave, and paid time off
• Learning and certification opportunities (Microsoft, Google, AWS, Skillsoft, and more)

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Additional Notes

• Applications are accepted on a rolling basis.
• Confidential Client does not require COVID-19 vaccination for employees company-wide; however, you may be required to show proof of vaccination to access certain client or partner sites. Medical or religious accommodations may be requested prior to start of employment.
• All qualified applicants will receive consideration regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.