AI Engineer (R&D)

Job Title AI Engineer (R&D) Experience Level 10+ years Job Summary Looking for an experienced AI Engineer to support the design, development, and delivery of AI‑enabled data solutions within Research & Development (R&D). This is a highly hands‑on role focused on building production‑grade data applications and analytics that directly enable R&D decision‑making. Core 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 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 Qualifications 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 Have 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 Common Expectations 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) EEO Statement NTT DATA is an equal‑opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. For Pay Transparency information, please contact us. For more information on your EEO rights under the law, please contact our EEO contact. #J-18808-Ljbffr NTT DATA, Inc.