Jobs in the United States

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Added 3 mins ago
Full Stack Engineer
True Talent Solutions Partners
San Francisco, CA
Join a small engineering team building an AI-enabled manufacturing procurement platform. You will ship full-stack features across customer, supplier, and internal operations products, with…
Added 15 mins ago
Principal AI translation architect 200 languages
Travoom
Remote, United States
You’ll build a conversational commerce platform capable of understanding intent, gathering information from dozens of independent systems, reasoning over the results, ranking…
Added 15 mins ago
Senior Payments Infrastructure Engineer - Crypto, Wallets & Blockchain
Travoom
Remote, United States
We are seeking a hands-on Senior Payments Infrastructure Engineer to take ownership of an existing payments backend and complete its integration, testing, and production deployment.
Added 15 mins ago
Principal AI Architect - OleOle
Travoom
Remote, United States
…applications to ChatGPT, Claude, or Gemini APIs. We need an engineer with deep, firsthand experience developing, fine-tuning, deploying, and operating AI models and…
Added 21 mins ago
S
Senior Full Stack Ruby on Rails Engineer
SmartFinancial
Remote, United States
- $150,000 to $170,000 USD / year
We’re seeking an experienced Senior Full Stack Ruby on Rails Engineer to help build, evolve, and scale the core systems that power our agent-facing, carrier-facing, and internal…
Added 29 mins ago
Mojo Libraries Engineer (Copy)
Modular
Remote, United States
, we’re on a mission to revolutionize AI infrastructure by systematically rebuilding the AI software stack from the ground up. Our team, made up of industry leaders and experts, is building…
Added 1 hour ago
Software Engineer, Runtime Infrastructure
Nominal
NY
Join Nominal as a Software Engineer, Runtime Infrastructure
Added 1 hour ago
TT
Founding AI Agent Engineer
True Talent Solutions Partners
San Francisco Bay Area, CA
- $150,000 to $220,000 USD / year
Build production-grade conversational AI agents for a healthtech platform focused on clinical trial recruitment. As an early engineering hire, you will own core agent capabilities that help…
Added 1 hour ago
Principal Site Reliability Engineer (Vehicle Engineering)
SpaceX
Bastrop, TX
SpaceX HPC is a shared compute platform used across the company - vehicle and structures simulation, machine learning, AI inference, and more. We support every program at SpaceX to design…
Added 1 hour ago
Software Automation & Platform Engineer - Federal Health IT
Rackner
Remote, United States
Software Automation & Platform Engineer - Federal Health IT
Added 2 hours ago
Lead Software Engineer, Frontend - Growth & Monetization
Nominal
NY
…Monetization team, working at the intersection of product engineering, infrastructure and business strategy. Our scope spans the entire customer journey, from self-serve signup and…
Added 2 hours ago
Full Stack Software Engineer, Compute
Nominal
NY
…data sources are streamed and drawn on screen in time for an engineer to decide whether to continue, pause, or abort tests running against real hardware. Our customers monitor…
Added 2 hours ago
Lead Software Engineer, Backend - Growth & Monetization
Nominal
NY
You'll lead the backend side of our new Growth & Monetization team, working at the intersection of product engineering, infrastructure and business strategy. Our scope spans the entire…
Added 2 hours ago
ES
Office 365 Engineer
Element Solutions Inc
Apex, NC
- $50,000 to $65,000 USD / year
Reporting to the Global Director Engineer this role is responsible for delivering, managing and enhancing the company’s cloud messaging capabilities via the Microsoft Office 365 platform.…
Added 2 hours ago
Cloud Solutions Engineer
Office of the Director of National Intelligence
McLean, VA
…Chief Technology Officer. Design, build, and maintain cloud infrastructure for IC OIG systems, including case management software and mission-critical applications hosted in cloud…
Added 2 hours ago
Agentic Operations Site Reliability Engineer
BOOZ, ALLEN & HAMILTON, INC.
McLean, VA
Imagine running the cloud environments where agentic AI goes to work for the mission. As a site reliability engineer, you know that availability, observability, and automation turn a…
Added 3 hours ago
DevOps Engineer
ClearlyAgile
Remote, United States
In this role you will be responsible for supporting the developers and customers using the infrastructure you are involved with developing, and being our company’s first line of defense in…
Added 4 hours ago
Engineer, Enterprise AI
NAVITUS HEALTH SOLUTIONS LLC
MIDDLETON, WI
Added 4 hours ago
Site Reliability Engineer
CLA HUDSON
HUDSON, WI
Added 4 hours ago
Software Engineer II- ECM Specialization
EMERGENT HOLDINGS, INC.
NEW BERLIN, WI
Added 4 hours ago
Devops Engineer Senior
BLUE SHIELD OF CALIFORNIA
MILWAUKEE, WI
JOB REQUIREMENTS: Your Role The Digital Platform team creates and maintains the foundation and features upon which Stellarus Digital Applications\' technical products are built. The DevOps…
Added 4 hours ago
Data Systems AI / ML Engineer
Oak Ridge National Laboratory
Oak Ridge, TN
The Environmental Sciences Division (ESD) at Oak Ridge National Laboratory (ORNL) is seeking a Data Systems AI/ML Engineer for its Earth Sciences Informatics portfolio. In this role, you…
Added 4 hours ago
Consulting Architect - Search
Elastic
United States
Acting as a trusted technical advisor, you will work with enterprises to improve application performance, infrastructure visibility, and end-user experience, while also improving their…
Added 4 hours ago
G
Software Engineer, Design
Garage
New York City, NY
- $150,000 to $250,000 USD / year
…expensive, specialized, and difficult to move. We’re building the infrastructure that powers the procurement and disposition of assets across America’s essential industries, automating…
Added 4 hours ago
G
Software Engineer, Growth
Garage
New York City, NY
- $150,000 to $250,000 USD / year
…take months of paperwork, phone calls, and delays. Our agentic platform automates the entire transaction: discovery, payments, freight, paperwork, warranty, and financing. What once took…

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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