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Added 4 days ago
Application Development Group Manager - Senior Vice President
Citibank, N.A.
United States
…architecture, and execution of enterprise-scale AI platforms, Java/Python engineering ecosystems, data platforms, and full-stack…
Added 4 days ago
Public Cloud Network – Security Engineer - VP
Citibank, N.A.
United States
…mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the…
Added 4 days ago
Senior Software Engineer
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Remote, United States
…lives. At Digital Infuzion, we harness innovative healthcare solutions and cutting-edge bioinformatics to make meaningful impacts in patient…
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Senior AI Engineer (CCC Auto / Agentic)
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CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy, creating intelligent experiences for insurers, repairers, automakers, part…
Added 4 days ago
AI Engineer (CCC Auto / Agentic)
EvolutionIQ
Remote, United States
CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy, creating intelligent experiences for insurers, repairers, automakers, part…
Added 4 days ago
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Devops Automation Engineer
TEKsystems
Augusta, GA
- $60 to $63 USD / hour
…responsible for designing, implementing, and managing automation solutions that enhance the efficiency, reliability, and scalability of the organization's infrastructure and applications.…
Added 4 days ago
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Enablement Engineer
NTT Data Americas, Inc.
Atlanta, GA
- $70 to $80 USD / hour
…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…
Added 4 days ago
MI
DevOps Engineer
MAXISIQ, Inc.
Chantilly, VA
- $120,000 to $210,000 USD / year
…missions. We experiment with the latest tools, prototype new solutions, and see projects go from concept to action. You will apply technical expertise to projects requiring rapid…
Added 4 days ago
IS
Quality Assurance Tech II
INSPYR Solutions
North Reading, MA
- $30 to $40 USD / hour
We are looking for a Quality Assurance Tech II to support manual system-level testing of complex robotic and automation solutions. This role will work closely with software developers,…
Added 4 days ago
MS
Vice President - Java Lead for Investment Banking Advisory Technology
MS Services Group, Inc.
NY
- $155,000 to $215,000 USD / year
…family responsible for developing and maintaining software solutions that support business…
Added 4 days ago
MS
Lead Site Reliability Engineer
MS Services Group, Inc.
United States
- $155,000 to $215,000 USD / year
Lead the development and adoption of automation solutions that improve reliability, reduce risk, and increase operational efficiency across the organization.
Added 4 days ago
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Senior Software Engineer
Actalent
Simpsonville, SC
- $60 to $70 USD / hour
Use LabVIEW, NI TestStand, Python, and SQL databases to build, integrate, and validate automated test solutions and data workflows.
Added 4 days ago
A
Senior Warehouse Automation & Systems Engineer
AKIRA
Bolingbrook
- $100,000 to $120,000 USD / year
Hands-On Problem Solving: Approach technical challenges with practical, efficient solutions tailored to the warehouse environment.
Added 4 days ago
Cybersecurity Solutions Architect/Engineer (AI/ML)
NikSoft Systems Corp.
United States
Leverage Databricks to develop analytic solutions using Python, SQL, and R to create, interpret, visualize, and report on complex data to stakeholders at all levels.
Added 4 days ago
A
Senior Scientist II / Principal Research Scientist I - Analytical R&D
AbbVie
North Chicago, IL
- $124,500 to $236,500 USD / year
…develop fit-for-purpose models, visualizations, and digital solutions that accelerate data-driven decisions across pharmaceutical…
Added 4 days ago
Analytics Engineer
Wellthy
United States
…understand families’ real challenges paired with agile, tech-powered solutions that deliver support efficiently and at scale. We embrace a mindset of continuous learning, especially around…
Added 4 days ago
IG
Data Engineer
Insight Global
Remote, United States
- $81,120 to $120,000 USD / year
- Develop solutions using Python and SQL, including tables, views, stored procedures, and functions.
Added 4 days ago
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AWS Databricks Engineer
Credence
McLean, VA
- $155,000 to $185,000 USD / year
Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and…
Added 4 days ago
Senior Supply Planning Manager - US
Samsara
Remote, United States
…and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a…
Added 4 days ago
Staff System Test Automation Engineer, AI
Sonatus
Detroit, MI
Triage integration issues, replicate problems, and assist in identifying root causes and solutions.
Added 4 days ago
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Security Engineer, Product
Rogo
New York, NY
- $270,000 to $330,000 USD / year
…cloud infrastructure, then turn those findings into engineering solutions that harden the product at its…
Added 4 days ago
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Data Scientist IV
TEKsystems
Menlo Park, CA
- $80 to $90 USD / hour
…customer-facing, with a strong emphasis on practical SQL and Python, operational statistics, and close collaboration with technical stakeholders to improve visibility, decision-making, and…
Added 4 days ago
Infrastructure Security Monitoring Engineer
Meta
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3+ years of development experience in at least one programming language (Python, Go, etc.) with the ability to apply that to security tool development, automation, and overall programmatic…
Added 4 days ago
Sr. SoC Power Engineer, Annapurna Labs - Cloud Scale Machine Learning
Amazon
Cupertino, CA
…including support for customers who require specialized security solutions for their cloud…
Added 4 days ago
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Product Analyst
TEKsystems
Cupertino, CA
- $50 to $60 USD / hour
Experience using Python and/or PySpark for data analysis, modeling, and business insights.

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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