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Added 1 min ago
Senior Mechanical Systems Engineer
KLA Corporation
Milpitas, CA
…influence to shape how some of the world’s most advanced e-beam systems are designed, built, and brought to market. As a senior technical leader, you will own complex mechanical systems and…
Added 3 mins ago
CC
In Circuit Test Engineer II
CIRCUIT CHECK INC
Maple Grove, MN
- $36 to $43 USD / hour
Circuit Check is the market-leading provider of automated test systems and test fixtures for complex electronic products for the automotive, military/aerospace, medical, industrial, energy,…
Added 3 mins ago
Principal Site Reliability Engineer
Palo Alto Networks, Inc.
CA
As a Principal Site Reliability Engineer within the Cortex DevOps team, you will serve as a technical leader driving the reliability, scalability, observability, and operational excellence…
Added 7 mins ago
Senior Software Engineer, Cloud Platform
Nvidia
Remote, United States
…provisioning to build a multi-tenant infrastructure. As a software engineer, you will work with other software engineers, product architects, and product managers as a collaborative team to…
Added 7 mins ago
Senior AI Engineer
MiniMed
CA
MiniMed is building a lean, high-leverage AI & Data Science team. We are looking for a Senior AI Engineer who builds AI capabilities hands-on and sets the standard the rest of the team…
Added 7 mins ago
Agent Deployment Engineer
True Talent Solutions Partners
San Francisco, CA
…deploy reliable agents while sharing feedback that improves the…
Added 8 mins ago
IT Infrastructure Engineer VI, Security
Kaiser Permanente
Pleasanton, CA
The Chief Engineer provides technical leadership for CyberArk Privileged Access Management (PAM), enterprise identity security, and privileged account governance. The position supports the…
Added 8 mins ago
Research Engineer, Agentic Infrastructure, liftlab - Stanford Law School
Stanford University
Stanford, CA
Stanford Law School’s Legal Innovation through Frontier Technology Lab (liftlab) is seeking a Research Engineer to design and implement the software systems that make the lab’s research…
Added 8 mins ago
Senior Production Site Reliability Engineer - PH
Disney Entertainment
Glendale, CA
…Disney Kids & Family Technology team as a Senior Production Systems Reliability Engineer. In this role, you will develop and support cloud solutions for DKF productions and…
Added 8 mins ago
Software Engineer - Traffic Efficiency
Meta
Menlo Park, CA
…performance work spanning high-throughput services, operating systems and kernels, networking and NICs, CPU and memory, and server platforms. The task is to identify high-leverage…
Added 8 mins ago
Advanced Mfg Engineer Sr Adv
Honeywell Aerospace
Torrance, CA
Engines & Power Systems provides the propulsion, auxiliary power and electrical systems that keep aircraft flying. With engines across roughly 120 aircraft types and more than 47,000 APUs…
Added 8 mins ago
Senior Lead Software Engineer - Agentic AI SRE Platform
JPMorgan Chase
Palo Alto, CA
As a Senior Lead Software Engineer at JPMorganChase within the AI/ML Data Platforms organization, you will lead the architecture and development of production-grade agentic AI and…
Added 8 mins ago
Senior Lead Software Engineer- AI/ML Training Infrastructure
JPMorgan Chase
Palo Alto, CA
As a Senior Lead Software Engineer at JPMorganChase within the Corporate Sector, Infrastructure Platforms team, you will play a critical role in designing, building, and operating secure,…
Added 8 mins ago
PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning
Amazon
Cupertino, CA
…hardware in our data centers including AWS Inferentia, Trainium Systems (our custom designed machine learning inference and training datacenter servers). Our success depends on our…
Added 8 mins ago
ECAD Application Development Engineer, Design Technologies
Amazon
Sunnyvale, CA
Diagnose and solve a range of issues, including, but not limited to: software deployment, platform interoperability, EDA systems, installation and licensing.
Added 8 mins ago
Senior Software Development Engineer in Test, Confidential Computing - SDET
Nvidia
Santa Clara, CA
As an engineer on this Confidential Computing QA team, you will do many feature development that include test plan development, automate testbench independent test specification and…
Added 8 mins ago
SDE II EC2 Nitro, EC2 Nitro
Amazon
Santa Clara, CA
The EC2 Nitro local storage team is seeking an experienced Software Development Engineer to build virtualized, hardware-accelerated solutions for EC2 disk instances at global scale. Our…
Added 8 mins ago
Senior Technical Product Manager, Infrastructure Resilience
Nvidia
Santa Clara, CA
…Technical Product Manager to own AI infrastructure resilience platform capabilities and developer experience, including GPU node health contracts and interfaces, workload failure…
Added 8 mins ago
Silicon Product Engineer – Manufacturing
Nvidia
Santa Clara, CA
NVIDIA’s Silicon Co-Design Group sits at the crossroads of architecture, silicon, systems, and manufacturing, where first-principles thinking and engineering judgment at the highest level…
Added 8 mins ago
ASIC Emulation & Verification Engineer
Broadcom
San Jose, CA
…engineering teams to accelerate early FW bring-up on the Palladium platform. Provide hardware models, map memory spaces, and configure virtual debuggers (like JTAG) to allow teams to boot…
Added 8 mins ago
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Platform Infrastructure & Optics Software Engineer
ManpowerGroup
San Jose, CA
- $45 to $50 USD / hour
Our client, technology and networking industry is seeking a Platform Infrastructure & Optics Software Engineer to join their team. As a Platform Infrastructure & Optics SW Eng, you will be…
Added 8 mins ago
ASIC Emulation and Verification Engineer
Broadcom
San Jose, CA
…engineering teams to accelerate early FW bring-up on the Palladium platform. Provide hardware models, map memory spaces, and configure virtual debuggers (like JTAG) to allow teams to boot…
Added 9 mins ago
AT
Machine Learning Senior Software Engineer
Akamai Technologies, Inc.
Sacramento, CA
- $121,400 to $218,600 USD / year
As an ML Senior Software Engineer, you will build and operate systems responsible for model validation, quantization, and safety across the AIC. You'll develop pipelines that scan models…
Added 9 mins ago
AT
Senior Software Engineer
Akamai Technologies, Inc.
Sacramento, CA
- $121,400 to $218,600 USD / year
…traffic environment. You will be involved in creating both platform and product related services. You will work closely with Cloud Engineers, Product Engineers, Data science and DevOps to…
Added 9 mins ago
AI Engineer, AI.x
Charles Schwab
San Francisco, CA
…accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. As an…

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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