AI Engineer (R&D)

NTT DATA Services • Dallas, TX

3d • Onsite

About The Position

NTT DATA is seeking an experienced AI Engineer to join their Research & Development (R&D) team. This role is focused on designing, developing, and delivering AI-enabled data solutions. The engineer will build production-grade data applications and analytics to support R&D decision-making. This is a hands-on position for an engineer who codes daily, uses AI-assisted development tools, and upholds high technical quality through code reviews and engineering standards. The engineer will collaborate with R&D stakeholders and Digital, Data, and AI partners to create scalable, secure, and maintainable data products.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
• 7+ years of strong, hands-on experience with Python for data engineering and analytics, including modular design, logging, configuration management, and automation.
• 5+ years of advanced SQL expertise, including query optimization and working with large, complex datasets.
• Proven experience designing and optimizing data models that balance performance, usability, and analytics needs.
• 5+ years of experience with cloud-based data platforms such as Databricks, Delta Lake, or equivalent technologies, including performance and cost optimization.
• 3 to 5 years of demonstrated success building and launching applications or data products using AI-assisted coding tools.
• Ability to critically assess, refactor, test, and productionize AI-generated code to enterprise standards.
• Extensive experience with Git-based workflows, including branching strategies, pull requests, and peer code reviews.
• Strong communication skills with the ability to translate technical concepts and AI outcomes into clear, actionable insights.
• Highly self-directed, delivery-focused, and comfortable working in fast-moving, evolving data and AI environments.

Nice To Haves

• Experience supporting R&D, manufacturing, supply chain, or scientific data environments.
• Exposure to statistics, Design of Experiments (DOE), or advanced analytics workflows.
• Experience building internal data tools or reusable analytics frameworks.

Responsibilities

• Design, build, and maintain scalable R&D data capture, ingestion, and analytics systems supporting structured and semi-structured data across the R&D lifecycle.
• Develop production-grade Python and SQL code for data pipelines, AI-enabled analytics, and automation with a strong focus on performance, reliability, and maintainability.
• Leverage AI-assisted coding tools to accelerate delivery while ensuring solutions meet Client’s security, data privacy, and quality standards.
• Translate R&D and business requirements into fully functional data products and applications, not just proofs of concept.
• Create interactive front-end prototypes (wireframes, lightweight apps, or functional mock-ups) to validate user workflows and reduce delivery risk.
• Provide technical leadership through architecture input, code-level guidance, and rigorous peer and AI-generated code reviews.
• Lead end-to-end User Acceptance Testing (UAT), including scenario design, edge-case validation, and production readiness sign-off.
• Provide post-deployment hypercare and aftercare, including monitoring, issue triage, bug fixes, access management, and data quality checks.
• Evaluate third-party AI platforms and tools, assessing technical fit, scalability, cost, and alignment with Client IT and AI governance standards.
• Communicate progress, risks, and design decisions clearly to both technical and non-technical stakeholders.

Benefits

• Compliance with Client’s responsible AI principles and Acceptable Use policy
• Adherence to data residency, privacy (GDPR, HIPAA where applicable), and 21 CFR Part 11 controls where in scope
• Third-party risk assessment and SOC 2 Type II (or equivalent) certification
• Disclosure of subcontractors and offshore delivery locations
• Disclosure of model providers, training data practices, and any use of client data for model improvement (opt-out required)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior