Early Career Consult Program - Associate AI Engineer

Description

The company designs, builds, manages and modernizes mission-critical technology systems for its clients, and works with Fortune 100 organizations.

This is an entry-level technical role supporting the design, build, deployment and improvement of AI, machine learning, analytics and data-driven solutions. You will work with experienced AI Engineers, Data Engineers, Data Scientists, Solution Architects and business stakeholders.

The role has two paths: AI Engineering, which covers AI-powered applications, generative AI, intelligent agents and machine learning features, and Data Engineering and Analytics, which covers the data foundations behind AI, machine learning, analytics and business intelligence. You can start in one path and will gain exposure to both over time.

Responsibilities

• Work with technical teams and business stakeholders to understand requirements and support AI-driven business outcomes.
• Help design, develop, test, deploy and support AI and data solutions.
• Take part in agile work, code reviews, troubleshooting and continuous improvement.
• Write up technical solutions, data sources, workflows, assumptions and operating procedures.
• Apply security, governance, privacy, compliance and responsible AI standards to all of your work.
• Build your skills in cloud, AI and data technologies through hands-on learning and project work.
• AI Engineering: help build AI, machine learning and generative AI applications, including intelligent agents, conversational experiences, retrieval-augmented generation (RAG) solutions and AI-assisted workflows.
• AI Engineering: build and maintain application components, APIs, integrations and automation.
• AI Engineering: help assess model performance, response quality, scalability and user experience, and take part in testing, monitoring and optimization.
• AI Engineering: learn modern AI frameworks, cloud AI services and software engineering practices.
• Data Engineering and Analytics: collect, cleanse, transform, validate and prepare structured and unstructured data for AI and analytics work.
• Data Engineering and Analytics: use SQL, Python and approved platform tools to query, manipulate and analyze data.
• Data Engineering and Analytics: help with exploratory analysis to find patterns, trends, insights and data quality issues.
• Data Engineering and Analytics: help build data workflows, reusable scripts, pipelines and preparation processes.
• Data Engineering and Analytics: help prepare training data, features and evaluation datasets for machine learning and AI projects.
• Data Engineering and Analytics: contribute to data governance, quality, lineage and operational practices.
• Over time, you will produce high-quality work with growing independence, build practical AI, software and data engineering skills, help improve business outcomes and user experiences, and work well across multidisciplinary teams.

Requirements

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics or a related field, or equivalent practical experience.
• 0-3 years of experience in software engineering, AI, machine learning, data engineering, analytics or a related technical field.
• Working knowledge of Python or a similar programming language.
• Basic grasp of software development principles and problem-solving methods.
• Familiarity with data structures, databases, APIs, cloud technologies or modern development tools.
• Strong analytical, communication, collaboration and documentation skills.
• Clear curiosity about emerging AI and data technologies.
• Preferred: exposure to Microsoft Azure, Azure AI Services, Azure OpenAI, AWS, Google Cloud or similar platforms.
• Preferred: familiarity with AI, machine learning, generative AI, large language models, retrieval systems or intelligent automation.
• Preferred: exposure to SQL, data analysis, data preparation, ETL/ELT or data pipeline concepts.
• Preferred: experience with Git, CI/CD, Docker, DevOps, MLOps or software engineering practices.
• Preferred: knowledge of visualization, reporting or business intelligence tools.
• Preferred: relevant certifications in AI, cloud, data or software engineering.
• Preferred: understanding of responsible AI, data privacy, security and governance principles.
• Core skills include problem solving, Python, cloud fundamentals, technical documentation, collaboration, responsible AI, generative AI and large language model basics, AI application development, intelligent agents, prompt engineering and AI testing, APIs and system integration, machine learning concepts, SQL, data preparation, data quality, exploratory analysis, data pipelines and business insight generation.

Conditions

You must be legally authorized to work in the United States without restriction, now and in the future. The company will not sponsor employment visas for this role.

You must be able to work at the Frisco office 5 days per week.

This is a full-time position paying $77,000. The pay range is not below any applicable state, city or local minimum wage.

Applications are reviewed on a rolling basis.

The company does not currently require COVID-19 vaccination, but if placed at a client, customer or partner site you may need to show proof of vaccination under that site's policy. Medical or religious accommodation requests can be made before employment starts.

The company welcomes people of all backgrounds and experiences.

Benefits

• Eligibility for the company's discretionary annual bonus, based on performance and subject to its plans. For sales commission eligible roles, you take part in a sales commission plan instead.
• A comprehensive benefits package with medical and dental cover, disability cover, retirement benefits, paid leave and paid time off.
• Access to learning programs for industry certifications, including Microsoft, Google, Amazon and Skillsoft.
• A company-wide volunteering and giving platform where you can donate, start fundraisers, volunteer and search more than 2 million non-profit organizations.