What are the responsibilities and job description for the Lead Agentic Data Engineer position at Apex Systems?
Job Details
Job#: 2067283
Job Description:
Apex Systems is seeking Agentic Data Engineer to design, develop, and deploy data pipelines that leverage agentic AI that solve real-world problems.
The ideal candidate will have experience in designing data processes to support agentic systems, ensure data quality, and facilitate interaction between agents and data.
Responsibilities:
- Guiding and mentoring AI engineers, helping them develop their skills and knowledge in the field.
- Leading and managing AI projects, ensuring they stay on track, meet deadlines, and the findings are actionable and relevant.
- Contributing to the creation and implementation of AI strategies that align with the organizations goals and objectives.
- Designing and developing data pipelines for agentic systems, develop Robust data flows to handle complex interactions between AI agents and Data sources.
- Ability to use advanced mathematical modeling, statistical analysis, and optimization techniques to gather and analyze data, identifying problems and developing solutions to improve efficiency in prompts.
- Ability to train and fine-tune large language models and Design and build the data architecture, including databases, data warehouses, and data lakes, to support various data engineering tasks.
- Develop and manage Extract, Load, transform (ELT) processes to ensure data is accurately and efficiently moved from source systems to analytical platforms used in data science.
- Implement data pipelines that facilitate feedback loops, allowing human input to improve system performance in human-in-the-loop systems.
- Work with vector databases to store and retrieve embeddings efficiently.
- Collaborate with data scientists and engineers to preprocess data, train models, and integrate AI into applications.
- Optimize data storage and retrieval with high-performance
Qualifications:
- Strong Data engineering fundamentals
- Utilize Big data frameworks like Spark/Databricks
- Training LLMs with structured and unstructured data sets.
- Understanding of Graph DB
- Experience with Azure Blob Storage, Azure Data Lakes, Azure Databricks
- Experience implementing Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI models, Azure Media Services, Azure AI Search
- Determine effective data partitioning criteria
- Utilize data storage system spark to implement partition schemes
- Understanding core machine learning concepts and algorithms
- Familiarity with Cloud computing skills
- Strong programming skills in Python and experience with AI/ML frameworks.
- Proficiency in vector databases and embedding models for retrieval tasks.
- Expertise in integrating with AI agent frameworks.
- Experience with cloud AI services (Azure AI).
- Experience with GIS spatial data
- Strong leadership, excellent problem-solving and communication skills
- Proven experience in leading projects and teams, including the mentorship of AI engineers
- The ability to engage in critical evaluation of information, hypothesis testing, and scenario analysis.
- Flexibility in learning and adopting new technologies, methodologies, and tools to stay at the forefront of AI trends.
- Experience with Data Domains developing an AI Composite Agentic Solution designed to identify and analyze data models, connect & correlate information to validate hypotheses, forecast, predict and recommend potential strategies, and conduct What-if analysis.
- Bachelor's or master's degree in computer science, AI, Data Science, or a related field.
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Job Description:
Apex Systems is seeking Agentic Data Engineer to design, develop, and deploy data pipelines that leverage agentic AI that solve real-world problems.
The ideal candidate will have experience in designing data processes to support agentic systems, ensure data quality, and facilitate interaction between agents and data.
Responsibilities:
- Guiding and mentoring AI engineers, helping them develop their skills and knowledge in the field.
- Leading and managing AI projects, ensuring they stay on track, meet deadlines, and the findings are actionable and relevant.
- Contributing to the creation and implementation of AI strategies that align with the organizations goals and objectives.
- Designing and developing data pipelines for agentic systems, develop Robust data flows to handle complex interactions between AI agents and Data sources.
- Ability to use advanced mathematical modeling, statistical analysis, and optimization techniques to gather and analyze data, identifying problems and developing solutions to improve efficiency in prompts.
- Ability to train and fine-tune large language models and Design and build the data architecture, including databases, data warehouses, and data lakes, to support various data engineering tasks.
- Develop and manage Extract, Load, transform (ELT) processes to ensure data is accurately and efficiently moved from source systems to analytical platforms used in data science.
- Implement data pipelines that facilitate feedback loops, allowing human input to improve system performance in human-in-the-loop systems.
- Work with vector databases to store and retrieve embeddings efficiently.
- Collaborate with data scientists and engineers to preprocess data, train models, and integrate AI into applications.
- Optimize data storage and retrieval with high-performance
Qualifications:
- Strong Data engineering fundamentals
- Utilize Big data frameworks like Spark/Databricks
- Training LLMs with structured and unstructured data sets.
- Understanding of Graph DB
- Experience with Azure Blob Storage, Azure Data Lakes, Azure Databricks
- Experience implementing Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI models, Azure Media Services, Azure AI Search
- Determine effective data partitioning criteria
- Utilize data storage system spark to implement partition schemes
- Understanding core machine learning concepts and algorithms
- Familiarity with Cloud computing skills
- Strong programming skills in Python and experience with AI/ML frameworks.
- Proficiency in vector databases and embedding models for retrieval tasks.
- Expertise in integrating with AI agent frameworks.
- Experience with cloud AI services (Azure AI).
- Experience with GIS spatial data
- Strong leadership, excellent problem-solving and communication skills
- Proven experience in leading projects and teams, including the mentorship of AI engineers
- The ability to engage in critical evaluation of information, hypothesis testing, and scenario analysis.
- Flexibility in learning and adopting new technologies, methodologies, and tools to stay at the forefront of AI trends.
- Experience with Data Domains developing an AI Composite Agentic Solution designed to identify and analyze data models, connect & correlate information to validate hypotheses, forecast, predict and recommend potential strategies, and conduct What-if analysis.
- Bachelor's or master's degree in computer science, AI, Data Science, or a related field.
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
