AI Engineer Tech Lead
NTT DATA
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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