GenAI Enablement Engineer — Enterprise AI Lead

NTT DATA; Atlanta (GA); On-site; USD 96,000 - 110,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

HSAs/FSAs

401k plan

Employee assistance

Job summary

NTT DATA is seeking an AI Enablement Engineer to join its client team in Charlotte, NC. You will design, deploy, and scale enterprise ML and GenAI capabilities, partnering with CIO-aligned teams to turn business priorities into production-grade AI solutions.

You will work across data prep, model development, secure GenAI design, ML Ops, and API exposure, with a focus on responsible AI, governance, and observability in a large enterprise environment.

Qualifications

• 3+ years in software/data/ML/AI in enterprise environments.
• 3+ years Python with NumPy, Pandas, scikit-learn, Matplotlib, Seaborn.
• 3+ years building ML models with supervision and/or unsupervised methods.
• 2+ years DL work with PyTorch or TensorFlow/Keras.
• 2+ years GenAI/LLM applications including prompt engineering, RAG, embeddings.
• 2+ years AI workflows with orchestration, APIs, and enterprise integrations.
• 3+ years SQL, data modeling, ETL/ELT, data prep.
• 3+ years cloud AI/ML services on Azure/AWS/Google Cloud.
• 5+ years API/backend dev with Git, CI/CD, Docker; Kubernetes preferred.
• 2+ years MLOps/LLMOps with MLflow or similar.
• Strong foundations in linear algebra, stats, calculus, optimization.
• Proven problem-solving, communication, leadership.

Responsibilities

• Lead AI/ML engineering within CIO organization, translating business problems into measurable ML use cases.
• Design, develop, test, deploy, and support production-grade ML and GenAI solutions.
• Prepare and analyze data using Python, NumPy, Pandas, Matplotlib, Seaborn.
• Develop ML models with diverse algorithms including regression, trees, boosting, clustering.
• Build DL solutions with PyTorch or TensorFlow; apply transformers and sequence models.
• Design secure GenAI solutions with prompt engineering, embeddings, and RAG.
• Establish experiments with cross-validation and relevant metrics.
• Build SQL data pipelines; use Spark/Databricks for large-scale processing.
• Expose models via secure REST APIs (FastAPI/Flask).
• Implement MLOps/LLMOps: tracking, versioning, CI/CD, testing, monitoring.
• Drive adoption of Azure AI, Azure OpenAI, AWS Bedrock; create reusable components.
• Ensure compliance with architecture, security, privacy, responsible AI, governance.
• Lead technical workshops and knowledge-sharing sessions.

Skills

Python

NumPy

Pandas

scikit-learn

Matplotlib

Seaborn

ML & AI

PyTorch

TensorFlow

SQL

ETL/ELT

REST APIs

MLOps/LLMOps

CI/CD

Docker

Kubernetes

MLflow

Education

Bachelor's degree in Computer Science, Engineering, Data Science, AI, ML, Math, Stats, or related field

Tools

Spark

Databricks

Kubernetes

MLflow

LangChain

Azure OpenAI/AWS Bedrock

Pinecone/Weaviate/Chroma

Job description

NTT DATA is seeking an AI Enablement Engineer to join its client team in Charlotte, NC. You will design, deploy, and scale enterprise ML and GenAI capabilities, partnering with CIO-aligned teams to turn business priorities into production-grade AI solutions.

You will work across data prep, model development, secure GenAI design, ML Ops, and API exposure, with a focus on responsible AI, governance, and observability in a large enterprise environment.