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Principal Data Scientist
ZINC Zillow, Inc.
Remote, United States
- $173,000 to $290,900 USD / year
…senior individual-contributor role embedded with the Data & Infrastructure Platform team and who will partner tightly with Product…
Added 2 mins ago
Public Cloud Network – Security Engineer - VP
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United States
You are a talented and experienced Network Security Engineer with a proven track record of infrastructure design, testing and automated deployment via Infrastructure as Code (IaC).
Added 4 mins ago
Senior Software Engineer
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Remote, United States
This role is ideal for an experienced engineer who enjoys solving complex technical problems and contributing directly to the codebase. You will work across modern web applications, backend…
Added 4 mins ago
Senior AI Engineer (CCC Auto / Agentic)
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Remote, United States
Systems architected and operated on Azure or AWS, with CI/CD and infrastructure as code, and hands-on time with a durable workflow engine such as Temporal or the Durable Task Scheduler.
Added 4 mins ago
AI Engineer (CCC Auto / Agentic)
EvolutionIQ
Remote, United States
Experience with CI/CD pipelines and infrastructure as code such as Terraform or Bicep.
Added 6 mins ago
Senior Software Engineer
Ficoso
Remote, United States
Our Senior Software Engineer will share a key role on our team. A Senior Software Engineer will be full stack and must have knowledge in all stages of software development. Will work…
Added 6 mins ago
Infrastructure Engineer
Raydar
Remote, United States
…company-hosted setup. Make the core architecture calls as the only infrastructure engineer on a small…
Added 8 mins ago
Field Welding Engineer / NDE Coordinator
Bechtel
Thacker Pass, NV
…jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner…
Added 9 mins ago
Network Security Engineer
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Tucker, GA
Automate repeatable work using APIs, scripting, and infrastructure-as-code practices.
Added 9 mins ago
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Devops Automation Engineer
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Augusta, GA
- $60 to $63 USD / hour
As the DevOps Automation Engineer, the individual will be responsible for designing, implementing, and managing automation solutions that enhance the efficiency, reliability, and…
Added 9 mins ago
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Senior Database Site Reliability Engineer – Oracle Database and GoldenGate (IC3)
Oracle
Atlanta, GA
- $81,100 to $187,000 USD / year
Experience with Infrastructure as Code and automation or orchestration tools such as Terraform, Ansible, Jenkins, or equivalent. No specific named tool is required.
Added 9 mins ago
Senior AWS Cloud Engineer
Serco
Atlanta, GA
We are seeking a highly skilled and experienced AWS Cloud Engineer to join our IT Operations organization and contribute to the ongoing development of our cloud-native platform.This role…
Added 9 mins ago
Lead Site Reliability Engineer - Remote
SitusAMC
Atlanta, GA
SitusAMC is on a Digital Transformation journey to implement and automate the infrastructure, platform creation by developing and executing Infrastructure as Code capabilities. This role…
Added 9 mins ago
Platform Engineer - Remote
SitusAMC
Atlanta, GA
This highly visible role partners with engineering, DevOps, Agile delivery, security, infrastructure, architecture, compliance, and business stakeholders. The role also leads the Azure…
Added 9 mins ago
Sr Software Engineer (HashiCorp Vault)
IBM
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Strong DevOps and cloud-native mindset, with hands-on experience implementing Infrastructure as Code (IaC) and automation-first operational practices.
Added 9 mins ago
Mainframe Technical Engineer
Highmark Health
Atlanta, GA
…z/OS, SMP/E, COUPLING FACILITY technical ecosystem including infrastructure, systems, networks, applications, integrations, etc. They will work closely with other technical professionals,…
Added 9 mins ago
Software Engineer, Infrastructure - Central Growth
Meta
Atlanta, GA
Software Engineer, Infrastructure - Central Growth Responsibilities:
Added 9 mins ago
ND
Enablement Engineer
NTT Data Americas, Inc.
Atlanta, GA
- $70 to $80 USD / hour
…now. NTT DATA's Client is currently seeking an AI Enablement Engineer to join their team in Charlotte, North Carolina (US-NC), United States…
Added 9 mins ago
Senior Network Engineer
Cognizant
Atlanta, GA
· Implement automation and Infrastructure as Code using Python, Ansible, Terraform, REST APIs, JSON, YAML, and Git.
Added 11 mins ago
MS
Vice President - Java Lead for Investment Banking Advisory Technology
MS Services Group, Inc.
NY
- $155,000 to $215,000 USD / year
…robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools. Our insights, our applications and infrastructure give a…
Added 11 mins ago
MS
Lead Site Reliability Engineer
MS Services Group, Inc.
United States
- $155,000 to $215,000 USD / year
Experienced, technically hands-on professional that understands both code and infrastructure.
Added 12 mins ago
Cloud Services Devops Engineer
Gordon Food Service, Inc.
Atlanta, GA
Build & Automate Cloud Systems: Use Infrastructure as Code (IaC) tools to provision, manage, and scale performant cloud environments.
Added 12 mins ago
Senior Network Security Engineer
Gordon Food Service, Inc.
Atlanta, GA
The Senior Network Security Engineer responsible for the design, architecture, implementation, and continuous improvement of the organization's network security strategy across hybrid,…
Added 15 mins ago
Electrical Engineer - Building Systems
Farnsworth Group
Phoenix, AZ
Farnsworth Group is seeking an Electrical Engineer - Building Systems to independently design and coordinate electrical systems for a broad range of commercial, industrial, institutional,…
Added 16 mins ago
Senior Software Engineer
Exact Sciences Corp
United States
The Senior Software Engineer is a hands-on builder within the product-led Software Engineering team in Abbott’s cancer diagnostics division, focused on Digital Engineering and Integrations.…

NTT Data Americas, Inc.

Enablement Engineer

Atlanta, GA, United States

$70 to $80 USD / hour

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Job details

Pay: $70 to $80 USD / hour
Posting language: English
Posted: Nov 5, 2026

Original job description

Company Overview

Req ID: 397017

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 an AI Enablement Engineer to join their team in Charlotte, North Carolina (US-NC), United States (US).

Location: U.S. Bank hubs (Chicago, Charlotte, Atlanta, Cincinnati, Minneapolis, Northern California, and Irving, TX)

Role Summary

The AI/ML Engineer / AI Enablement Engineer will design, build, deploy, and scale enterprise machine learning and generative AI solutions. This role combines hands-on engineering with technical enablement, partnering with CIO-aligned teams to translate business priorities into secure, responsible, observable, and production-ready AI capabilities.

Day-to-Day Responsibilities

Partner with an assigned CIO organization as a primary AI/ML engineering lead, converting business problems into measurable machine learning and generative AI use cases.
Design, develop, test, deploy, and support production-grade solutions spanning predictive machine learning, deep learning, large language models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI.
Prepare and analyze structured and unstructured data using Python, NumPy, Pandas, Matplotlib, and Seaborn; perform data quality analysis, preprocessing, feature engineering, and exploratory analysis.
Develop supervised and unsupervised learning solutions using techniques such as linear and logistic regression, decision trees, random forests, gradient boosting/XGBoost, support vector machines, K-Means, DBSCAN, PCA, and other dimensionality-reduction methods.
Build deep learning solutions with PyTorch (preferred) or TensorFlow/Keras, applying neural networks, CNNs, RNNs/LSTMs, transformers, attention mechanisms, and transfer learning where appropriate.
Design secure GenAI solutions using prompt engineering, embeddings, vector search, document ingestion, RAG, fine-tuning, tool/function calling, orchestration frameworks, AI agents, evaluation, and guardrails.
Establish statistically sound experiments and evaluate solutions using cross-validation and relevant measures such as accuracy, precision, recall, F1 score, ROC-AUC, calibration, latency, cost, groundedness, relevance, and safety.
Build and maintain SQL-based data pipelines, ETL/ELT workflows, data models, and integrations with enterprise data sources; use Spark or Databricks for large-scale processing when needed.
Expose models and AI capabilities through secure REST APIs and services using FastAPI, Flask, or comparable frameworks, and integrate them with enterprise applications and backend systems.
Implement MLOps/LLMOps practices, including experiment tracking, model and prompt versioning, CI/CD, automated testing, containerization, orchestration, model serving, monitoring, drift detection, observability, and controlled releases.
Drive adoption of Azure AI, Azure OpenAI, AWS Bedrock, and internal AI platforms; create reusable components, reference architectures, sample code, playbooks, and implementation patterns.
Ensure solutions comply with enterprise architecture, cybersecurity, privacy, responsible AI, model risk management, data governance, accessibility, resilience, and production support standards.
Lead technical workshops, design reviews, mentoring, and knowledge-sharing sessions for engineering, product, data, risk, and business stakeholders.

Basic Qualifications

3 years of overall experience in software engineering, data engineering, machine learning engineering, data science, or AI solution development in enterprise environments.
3 years of hands-on Python development using libraries such as NumPy, Pandas, scikit-learn, Matplotlib, and Seaborn, along with object-oriented programming, data structures and algorithms, design patterns, unit testing, and maintainable coding practices.
3 years of experience developing and evaluating supervised and unsupervised machine learning models, including feature engineering, hyperparameter tuning, cross-validation, and model performance analysis.
2 years of experience developing deep learning solutions with PyTorch or TensorFlow/Keras and working knowledge of neural networks, transformers, attention, CNNs, and sequence models.
2 years of hands-on experience building GenAI/LLM applications, including prompt engineering, RAG, embeddings, vector databases/search, model integration, evaluation, guardrails, and production deployment.
2 years of experience developing agentic or multi-step AI workflows using orchestration frameworks, tool/function calling, APIs, and enterprise system integrations.
3 years of experience with SQL, data modeling, data preprocessing, ETL/ELT pipelines, feature engineering, and relational or NoSQL databases.
3 years of experience with cloud AI/ML services on Microsoft Azure, AWS, or Google Cloud, including secure deployment, identity, networking, storage, and monitoring patterns.
5 years of experience building and deploying APIs or backend services and using Git, CI/CD, Docker, and cloud-native production practices; Kubernetes experience is strongly preferred.
2 years of experience with MLOps/LLMOps, including MLflow or comparable tooling, experiment tracking, model registries, versioning, automated testing, serving, and production monitoring.
Applied understanding of linear algebra, probability, statistics, calculus, optimization, hypothesis testing, confidence intervals, correlation, and covariance as used in model development and experimentation.
Demonstrated problem-solving, communication, stakeholder management, and technical leadership skills, with the ability to explain complex AI/ML concepts to technical and non-technical audiences.

Core Technology Stack

Programming and analytics: Python, NumPy, Pandas, scikit-learn, Matplotlib, Seaborn, SQL.
Machine learning and deep learning: XGBoost, PyTorch, TensorFlow/Keras, MLflow.
GenAI and orchestration: LangChain/LangGraph, LlamaIndex, Semantic Kernel, OpenAI/Azure OpenAI APIs, AWS Bedrock, or comparable frameworks and services.
Search and vector technologies: Azure AI Search, Pinecone, Weaviate, Chroma, OpenSearch, pgvector, FAISS, or equivalent platforms.
Data platforms and databases: SQL Server, PostgreSQL, MySQL, MongoDB, Spark, Databricks, and vector databases.
Deployment and collaboration: REST APIs, FastAPI/Flask, Docker, Kubernetes, Git, GitHub, Azure DevOps, CI/CD, Agile/Scrum.

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related field, or equivalent practical experience.

Travel

Travel as required based on business and CIO-aligned engagement needs.

Preferred Qualifications

Experience delivering AI/ML solutions in financial services or another highly regulated environment, including familiarity with model risk management and responsible AI controls.
Experience building reusable AI accelerators, reference architectures, shared platform capabilities, or internal developer enablement programs.
Experience with distributed data processing and big-data ecosystems, particularly Spark, Databricks, or Hadoop technologies.
Experience with advanced LLM techniques such as fine-tuning, synthetic data generation, multimodal models, agent evaluation, red-teaming, and human-in-the-loop workflows.
Master's degree or higher in a relevant technical or quantitative discipline.

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

Compensation and Benefits

U.S. On Location / Hybrid NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $70/Hr to $80/Hr. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits.

Accessibility and Equal Opportunity

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. 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 our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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