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Lead Artificial Intelligence Engineer

Credit One Bank

Las Vegas, Nevada • Today

Full-time

Lead AI Engineer - Java Full Stack

Virtusa Corporation

Las Vegas, Nevada • Yesterday

Easy Apply

Full-time

Depends on Experience

Lead AI Engineer

Stefanini

Remote or Chicago, Illinois • 6d ago

Easy Apply

Contract

Market

Lead AI Engineer

KeyCorp

Remote • Today

Full-time

USD 96,000.00 - 181,000.00 per year

Lead AI Engineer

EPAM Systems

Remote • Today

Full-time

Lead AI Engineer with Machine Learning

EPAM Systems

Remote • Today

Full-time

Lead AI Engineer with AWS Bedrock

EPAM Systems

Remote • Today

Full-time

Lead AI Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI Security Engineer

Credit One Bank

Las Vegas, Nevada • Today

Full-time

Lead AI Engineer- Remote

UnitedHealth Group

Remote or Richardson, Texas • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Lead AI Engineer, Business Operations (Hybrid or Remote)

AFL Network Services

Remote or Dallas, Texas • Today

Full-time

Lead AI Engineer, Agentic and RAG Systems

EPAM Systems

Remote • Today

Full-time

Lead AI Engineer (Real Estate domain preferred)

Evolutyz Corp

Remote • 6d ago

Easy Apply

Contract

85 - 90

Lead AI Engineer - Java with Claude Code

EPAM Systems

Remote • Today

Full-time

Lead Azure AI Engineer

Reliable Software Resources

Remote • Today

Easy Apply

Contract

Depends on Experience

Lead AI Software Engineer

Epiq

Remote or Overland Park, Kansas • Today

Full-time

USD 120,000.00 - 170,000.00 per year

Lead Agentic AI Engineer

Lincoln Softtech LLC

Remote • 28d ago

Easy Apply

Contract, Third Party

70 - 75

Lead AI Software Engineer

Navigant Consulting

Remote • Today

Full-time

USD 113,000.00 - 188,000.00 per year

Lead Java AI Engineer

EPAM Systems

Remote • Today

Full-time

Lead Agentic AI Engineer - Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC, Durham, NC, Orlando, FL, Columbia, SC.

TechniPros, LLC

Remote or Atlanta, Georgia • Yesterday

Easy Apply

Contract

Depends on Experience

Lead AI Factory Engineer

Humana Inc

Remote or Kentucky • Today

Full-time

USD 117,600.00 - 161,700.00 per year

Lead AI/ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI/ML Engineer - Remote Nationwide or Hybrid in Eden Prairie, MN

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI/Agentic Identity Engineer

CAI

Remote or Florida • Today

Full-time

USD 85.00 - 90.00 per hour

Lead AI Infrastructure Engineer

Avride

Remote or Austin, Texas • Today

Full-time

Lead AI ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI/ML Engineer-Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group

Remote or Boston, Massachusetts • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI/ML Engineer - Remote

UnitedHealth Group

Remote or Schaumburg, Illinois • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI/ML Engineer Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI Cloud Platform Engineer

Allstate Insurance Company

Remote or Illinois • Today

Full-time

USD 110,000.00 - 181,025.00 per year

Job Details

Skills

Banking
Fraud
Credit Risk
Customer Analysis
Documentation
Collaboration
Regulatory Compliance
Modeling
Management
Deep Learning
Natural Language Processing
Generative Artificial Intelligence (AI)
Training
Vector Databases
Continuous Integration
Continuous Delivery
Machine Learning Operations (ML Ops)
GPU
Cloud Computing
Microsoft Azure
Amazon SageMaker
Vertex
Kubernetes
Microservices
Databricks
Snow Flake Schema
Privacy
Python
PyTorch
TensorFlow
JAX
LangChain
Semantic Search
Prompt Engineering
Orchestration
Computer Science
Artificial Intelligence
Machine Learning (ML)
Data Science
Financial Services
Spectrum
Credit Cards
Finance

Banking
Fraud
Credit Risk
Customer Analysis
Documentation
Collaboration
Regulatory Compliance
Modeling
Management
Deep Learning
Natural Language Processing
Generative Artificial Intelligence (AI)
Training
Vector Databases
Continuous Integration
Continuous Delivery
Machine Learning Operations (ML Ops)
GPU
Cloud Computing
Microsoft Azure
Amazon SageMaker
Vertex
Kubernetes
Microservices
Databricks
Snow Flake Schema
Privacy
Python
PyTorch
TensorFlow
JAX
LangChain
Semantic Search
Prompt Engineering
Orchestration
Computer Science
Artificial Intelligence
Machine Learning (ML)
Data Science
Financial Services
Spectrum
Credit Cards
Finance

Summary

Description

Position Summary

The Lead Artificial Intelligence Engineer develops and produces AI and machine learning solutions supporting banking and credit card businesses. This role focuses on building scalable, explainable, and compliant AI models for fraud detection, credit risk, customer analytics, and operational intelligence.

Essential Job Functions

Develop, train, and optimize ML, deep learning, and Generative AI models.
Implement data pipelines, feature engineering, and model inference services.
Deploy and monitor models using enterprise MLOps practices.
Support model explainability, bias analysis, and regulatory documentation.
Collaborate with data engineers, risk, and compliance teams.

Position Requirements

Core AI Concepts and Technologies Required:

Machine Learning & Modeling
- Supervised, unsupervised, reinforcement learning
- Deep learning (CNNs, RNNs, Transformers)
- Natural Language Processing (NLP) & LLMs
- Generative AI (diffusion models, fine-tuning, RAG)

AI Engineering & MLOps
- Model training, deployment, monitoring, and retraining
- Feature stores, vector databases, and model registries
- CI/CD pipelines for ML (MLOps)
- GPU/accelerator compute architectures

Cloud & Infrastructure
- Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI
- Kubernetes, containerization, microservices
- Data platforms (Databricks, Snowflake, Synapse)

Responsible AI & Governance
- Model explainability (SHAP, LIME)
- Fairness, bias detection, model risk controls
- Privacy-preserving ML techniques (differential privacy, federated learning)

Programming & Tooling
- Python, PyTorch, TensorFlow, JAX
- LangChain, semantic search, vector embeddings
- Prompt engineering & LLM orchestration frameworks

Preferred

Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
3-7 years of experience in AI/ML or data science.
Experience working with large-scale financial or transactional data is preferred.

Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10206064
Position Id: 2316385bbeca010cfd8a52ed8895de55
Posted 30+ days ago

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Job Details

Skills

Banking
Fraud
Credit Risk
Customer Analysis
Documentation
Collaboration
Regulatory Compliance
Modeling
Management
Deep Learning
Natural Language Processing
Generative Artificial Intelligence (AI)
Training
Vector Databases
Continuous Integration
Continuous Delivery
Machine Learning Operations (ML Ops)
GPU
Cloud Computing
Microsoft Azure
Amazon SageMaker
Vertex
Kubernetes
Microservices
Databricks
Snow Flake Schema
Privacy
Python
PyTorch
TensorFlow
JAX
LangChain
Semantic Search
Prompt Engineering
Orchestration
Computer Science
Artificial Intelligence
Machine Learning (ML)
Data Science
Financial Services
Spectrum
Credit Cards
Finance

Banking
Fraud
Credit Risk
Customer Analysis
Documentation
Collaboration
Regulatory Compliance
Modeling
Management
Deep Learning
Natural Language Processing
Generative Artificial Intelligence (AI)
Training
Vector Databases
Continuous Integration
Continuous Delivery
Machine Learning Operations (ML Ops)
GPU
Cloud Computing
Microsoft Azure
Amazon SageMaker
Vertex
Kubernetes
Microservices
Databricks
Snow Flake Schema
Privacy
Python
PyTorch
TensorFlow
JAX
LangChain
Semantic Search
Prompt Engineering
Orchestration
Computer Science
Artificial Intelligence
Machine Learning (ML)
Data Science
Financial Services
Spectrum
Credit Cards
Finance

Summary

Develop, train, and optimize ML, deep learning, and Generative AI models.
Implement data pipelines, feature engineering, and model inference services.
Deploy and monitor models using enterprise MLOps practices.
Support model explainability, bias analysis, and regulatory documentation.
Collaborate with data engineers, risk, and compliance teams.

Position Requirements

Core AI Concepts and Technologies Required:

Machine Learning & Modeling
- Supervised, unsupervised, reinforcement learning
- Deep learning (CNNs, RNNs, Transformers)
- Natural Language Processing (NLP) & LLMs
- Generative AI (diffusion models, fine-tuning, RAG)

AI Engineering & MLOps
- Model training, deployment, monitoring, and retraining
- Feature stores, vector databases, and model registries
- CI/CD pipelines for ML (MLOps)
- GPU/accelerator compute architectures

Cloud & Infrastructure
- Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI
- Kubernetes, containerization, microservices
- Data platforms (Databricks, Snowflake, Synapse)

Responsible AI & Governance
- Model explainability (SHAP, LIME)
- Fairness, bias detection, model risk controls
- Privacy-preserving ML techniques (differential privacy, federated learning)

Programming & Tooling
- Python, PyTorch, TensorFlow, JAX
- LangChain, semantic search, vector embeddings
- Prompt engineering & LLM orchestration frameworks

Preferred

Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
3-7 years of experience in AI/ML or data science.
Experience working with large-scale financial or transactional data is preferred.

Dice Id: 10206064
Position Id: 2316385bbeca010cfd8a52ed8895de55
Posted 30+ days ago

Fitment

Dice Job Match Score™

👤 Reviewing your profile...

Create job alert

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Similar Jobs

AVP, Artificial Intelligence

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