MarTech Expert Engineer, AI Data Engineer

The MarTech Expert Engineer, AI Data Engineer (Adobe Practice) designs and builds components of enterprise services, partnering with other development teams to ensure alignment of information and technology strategies focusing on integration, AI model deployment, and advanced analytics.

ROLE SUMMARY

The MarTech Expert Engineer, AI Data Engineer (Adobe Practice) designs and builds components of enterprise services, partnering with other development teams to ensure alignment of information and technology strategies focusing on integration, AI model deployment, and advanced analytics.

DUTIES AND RESPONSIBILITIES

• Ownership of AI data engineering workstream for high-complexity AI-related assignments.
• Understand how AI strategy and services align with the overall product strategy.
• Develop and maintain strong working relationships and promote a positive, collaborative tone across a distributed team environment.
• Gather functional requirements, develop technical specifications, perform development, and identify testing approach (unit, system, and user review, and validation) for AI and data engineering projects.
• Align overall strategies and balance competing priorities in collaboration with their leader.
• Ensure common architecture decisions, particularly related to AI and data pipelines, are implemented consistently across projects/programs.
• Design and develop new AI services and solutions in conjunction with technology vendors.
• Design with a balanced view of all key architectural quality metrics such as performance, scalability, reliability, availability, elasticity, and interoperability, especially in AI applications.
• Design and develop schema (database) or document (JSON, XML...) definitions for AI data engineering projects.
• Design and develop ETL jobs and data pipelines across multiple platforms and tools (e.g., T-SQL, HDFS, Spark, SQL Server, APIs, XSLT, etc.), incorporating AI model integration.
• Collaborate with business partners and IT teams to implement and support the management of the company s ETL/MDM (Master Data Management) layer (Reporting & Analytics, HR and Financial data integration, auditing, etc.).
• Resolve defects/bugs during QA testing, pre-production, production, and post-release patches for all AI/data engineering solutions.
• Assist with the design and architecture of AI services across the data landscape.
• Assist in the development of the integration team, contributing to reviews of methodologies, tools, and best practices for AI and machine learning projects.
• Provide support and documentation of designs and service components, including AI models and solutions.
• Perform other job-related duties as assigned.

QUALIFICATIONS

• BE/B.Tech/MCA in Computer Science, Engineering, Mathematics, or a related field.
• 5+ years of experience in data engineering, data science, or a related field.
• 5+ years of practical experience in Python programming.
• Proficient in Python, SQL, and data modeling.
• Experience with big data technologies such as Hadoop, Spark, and Kafka.
• Experience with ETL or big data processing techniques.
• Strong understanding of object-oriented and functional programming principles.
• Strong database skills, such as MySQL.
• Solid understanding of system design, distributed systems, and security aspects.
• Excellent problem-solving skills and attention to detail.
• Comfortable with solving math problems, working with Data Science problems using statistics and tools for data analysis (e.g., R), and libraries like SciPy.
• Strong understanding of machine learning algorithms and AI model deployment.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of data warehousing solutions and ETL processes.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
• Experience with training LLMs, domain adaptation, Sentence Transformers fine tuning, PyTorch will be a big advantage.
• Experience with TensorFlow will be a plus.
• Expertise in prompt engineering, RAG, OpenAI, and Open Source models will be a plus.

Note: Any reference to years of experience should be disregarded in the UK.

Primary Location City/State:
Homebased - Conway, Arkansas

Additional Locations (if applicable):

Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.

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Attention Colorado, California, Connecticut, Maryland, Nevada, New York City , Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact .