NTT DATA

AI Engineer Tech Lead

NTT DATA
US Dallas, TX, US
Remote 2026-06-26
Announced salary
$149,760 - $187,200
Low
$83K
Median
$110K
High
$145K
Market in Dallas · BLS OEWS 2025
Estimated net pay
$9,469 - $11,615
/month · 24% withheld
after tax & contributions · Single, no dependents

Job description

Company Overview: Req ID: 367048 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward\-thinking organization, apply now. NTT DATA's Client is currently seeking a Tech Lead to join their team in Dallas, Texas (US\-TX), United States (US). REMOTE Role Summary * We are looking for an experienced AI Engineer – Tech Lead to lead the design, development, and deployment of scalable AI/ML and Generative AI solutions. This role combines deep technical expertise with strong technical leadership, guiding teams to build production\-grade AI systems that deliver measurable business impact. Day to Day job Duties: (what this person will do on a daily/weekly basis) Key Responsibilities * Lead end\-to\-end design and implementation of AI/ML and Generative AI solutions. * Own AI system architecture including model lifecycle, pipelines, and inference services. * Review code, models, and architectures to ensure quality, scalability, performance, and security. * Mentor and guide AI engineers and data scientists. * Define engineering best practices and MLOps standards. AI \& ML Engineering Responsibilities * Design, train, fine\-tune, and deploy ML, DL, and LLM\-based models. * Build pipelines for data ingestion, preprocessing, training, and evaluation. * Implement prompt engineering, RAG pipelines, and agentic workflows. * Optimize models for accuracy, latency, and cost. * System Design \& Architecture * Architect cloud\-native, scalable AI solutions. * Integrate AI systems with enterprise platforms, APIs, and data sources. * Ensure security, privacy, compliance, and governance requirements are met. * MLOps \& Production Readiness * Lead CI/CD for ML systems. * Implement model versioning, monitoring, and drift detection. * Drive observability and reliability of AI services. Basic Qualifications: (what are the skills required to this job with minimum years

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