Search Jobs | Dice.com

1018 results (103 new)

Group by company

AI Platform Enablement Engineer III

CareSource

Remote or Dayton, Ohio • Today

Full-time

USD 94,100.00 - 164,800.00 per year

Senior ServiceNow Engineer - AI Enablement & Platform Strategy - Remote

Molina Healthcare

Remote • Today

Full-time

USD 79,607.91 - 172,483.80 per year

Senior AI Engineer, AI Enablement

GameChanger Media, Inc

Remote • Today

Full-time

USD 140,000.00 - 155,000.00 per year

AI Platform Engineer

Spiceorb

Remote • 3d ago

Easy Apply

Contract

Depends on Experience

Backend Software Engineer - Python & Pipeline Orchestration (Cloud / AI Platform)

Bayside Solutions

Remote • Today

Easy Apply

Contract

$60 - $70 per hour

Machine Learning Platform Engineer, Machine Learning (ML) and Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$140,000 - $180,000

DevOps Enablement Engineer & AI Adoption Specialist

EPAM Systems

Remote or New York, New York • Today

Full-time

DevOps Enablement Engineer & AI Adoption Specialist

EPAM Systems

Remote • Today

Full-time

AI Infrastructure DC Design Engineer III

Astreya Partners

Remote or Texas • Today

Full-time

USD 54,036.00 - 85,320.00 per year

Lead Software Engineer, AI Platform

Root Inc.

Remote • Today

Full-time

USD 164,200.00 - 240,000.00 per year

Sr Staff AI Platform Engineer

WEX Inc

Remote • Today

Full-time

USD 220,000.00 - 255,800.00 per year

Lead Platform Engineer (Data & AI)

Huron

Remote or Chicago, Illinois • Today

Full-time

USD 155,000.00 - 175,000.00 per year

Senior AI Platform Engineer, Infrastructure Services

SentinelOne

Remote • Today

Full-time

USD 132,000.00 - 182,000.00 per year

Senior GenAI & Agentic AI Platform Engineer

HMG America

Remote • Today

Easy Apply

Full-time

$DOE

Sr. Staff Software Engineer, AI Platform

Pinterest, Inc.

Remote or Palo Alto, California • Today

Full-time

USD 208,592.00 - 429,454.00 per year

Lead Engineer, Analytics Platform & AI

Huron

Remote or Chicago, Illinois • Today

Full-time

USD 126,500.00 - 150,000.00 per year

Lead AI Engineer - TCO Agent Platform

EPAM Systems

Remote • Today

Full-time

Lead AI Engineer - TCO Agent Platform

EPAM Systems

Remote or New York, New York • Today

Full-time

Sr Software Engineer, AI Agent Platform

Motorola Solutions

Remote or Illinois • Today

Full-time

USD 140,000.00 - 160,000.00 per year

Staff/Senior Software Engineer, Voice AI Platform

Toast

Remote • Today

Full-time

USD 193,000.00 - 309,000.00 per year

Senior Software Engineer, AI Platform (Remote)

Weedmaps

Remote • Today

Full-time

USD 196,984.00 - 222,000.00 per year

Senior Full Stack Engineer, Agentic AI Platform

CVS Health

Remote or New York, New York • Today

Full-time

USD 101,970.00 - 203,940.00 per year

AI Platform Engineer

The Intersect Group

Remote • Today

Easy Apply

Contract

Depends on Experience

Senior AI/ML Platform Engineer - Columbia, SC, Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC, Durham, NC, Orlando, FL.

TechniPros, LLC

Remote or Columbia, South Carolina • Today

Easy Apply

Contract

Depends on Experience

Senior Azure DevSecOps Cloud Platform Engineer (Azure & AI Infrastructure)

IRIS Software, Inc.

Remote • 11d ago

Easy Apply

Contract, Third Party

Depends on Experience

AI Platform Engineer -Agentic AI

TekAssembly

Remote • Yesterday

Easy Apply

Contract

Depends on Experience

Principal AI Platform Engineer Agentic AI & MCP

Alfvo, LLC

Remote • 14d ago

Easy Apply

Full-time

Depends on Experience

AI Platform and Harness Engineer

LTS

Remote • 10d ago

Easy Apply

Full-time

133000 - 164000

AI Engineer with Power Platform

The Avian Consulting LLC

Remote • Yesterday

Easy Apply

Full-time, Third Party

Depends on Experience

AI Platform Engineer

Spiceorb

Remote • 2d ago

Easy Apply

Contract

60 - 68

Job Details

Skills

Cost Management
Accountability
Evaluation
Provisioning
Usability
Finance
IT Management
Budget
Forecasting
Data Security
Legal
Regulatory Compliance
Roadmaps
Computer Science
Software Engineering
Machine Learning Operations (ML Ops)
IaaS
Orchestration
Continuous Integration
Continuous Delivery
Machine Learning (ML)
Management
Microsoft Office
Enterprise Architecture
Analytics
Reporting
Optimization
Microsoft
Artificial Intelligence
Microsoft Azure
DevOps
Kubernetes
System Integration Testing
Training
Partnership
Brand

Cost Management
Accountability
Evaluation
Provisioning
Usability
Finance
IT Management
Budget
Forecasting
Data Security
Legal
Regulatory Compliance
Roadmaps
Computer Science
Software Engineering
Machine Learning Operations (ML Ops)
IaaS
Orchestration
Continuous Integration
Continuous Delivery
Machine Learning (ML)
Management
Microsoft Office
Enterprise Architecture
Analytics
Reporting
Optimization
Microsoft
Artificial Intelligence
Microsoft Azure
DevOps
Kubernetes
System Integration Testing
Training
Partnership
Brand

Summary

Job Summary:

The AI Platform Enablement Engineer III is responsible for the operational success of enterprise AI platforms by owning the end-to-end enablement, adoption, cost management, and governance execution of AI platforms, including but not limited to Anthropic (Claude), Microsoft Copilot Studio, and Microsoft 365 Copilot. This role operates independently on complex and ambiguous problems, setting direction within its domain and ensuring that rapidly evolving AI platform capabilities are introduced in a controlled, value-driven, and governed manner. They do not own infrastructure or SRE operations but are accountable for platform enablement, configuration, and operational governance of usage.

Essential Functions:

Own evaluation, prioritization, and controlled rollout of new capabilities, including pilot, scale, and deferment strategies, across AI platforms.
Define rollout strategies, including pilot cohorts and broad enablement approaches.
Establish and manage role-based access, usage tiers, entitlement models and related platform configurations.
Develop, maintain, and enforce approved usage patterns, platform guardrails and usage boundaries.
Coordinate rollout execution across access provisioning, communications, and enablement activities.
Define and track platform adoption metrics (e.g., active users, usage segmentation, engagement trends), identify and resolve adoption blockers, configuration gaps, and usability friction.
Identify high-value and low-value usage patterns across user cohorts.
Drive targeted adoption strategies to expand effective usage and reduce misaligned or low-value usage.
Partner with engineering and business stakeholders to capture measurable outcomes such as efficiency gains and delivery acceleration.
Own visibility into platform consumption, spend, and usage trends.
Analyze cost drivers across models, tools, and usage patterns.
Optimize platform usage through standardized patterns and model selection guidance.
Partner with Finance and IT leadership to support budgeting and forecasting.
Operationalize enterprise AI governance at the platform usage level.
Ensure compliance with data protection requirements, including PHI and PII constraints.
Establish and maintain auditability and monitoring practices.
Coordinate with Security, Risk, Legal, and AI Governance stakeholders to ensure alignment and compliance.
Maintain feature enablement settings and reporting configurations.
Develop and sustain operational playbooks for platform rollout and usage.
Act as the primary point of engagement for platform evolution and vendor interaction, providing structured feedback to vendors to influence roadmap alignment.
Maintain awareness of platform capabilities, roadmap changes, and enterprise impact.
Partner with architecture and engineering stakeholders to ensure platform usage aligns with enterprise patterns and standards.
Provide feedback into evolving design standards based on real-world platform capabilities and constraints.
Perform any other job related duties as requested.

Education and Experience:

Bachelor's degree in Computer Science, Software Engineering, or related technical field required
Equivalent years of relevant work experience may be accepted in lieu of required education
Five (5) years of IT engineering experience, with at least three (3) years specialized in DevOps, MLOps, or Cloud Infrastructure required
Experience with Azure AI Services (Azure OpenAI, AI Search, Azure ML) and container orchestration (Kubernetes/AKS) required
Experience building and maintaining CI/CD pipelines for machine learning models or complex software applications required

Competencies, Knowledge and Skills:

Familiarity with working with enterprise AI or advanced technology platforms
Strong understanding of AI/LLM capabilities and platform-based delivery models
Ability to manage adoption, enablement, or rollout of enterprise technology platforms
Familiarity with consumption-based cost models and optimization strategies
Ability to operate independently and lead initiatives in complex and ambiguous environments
Knowledgeable in AI platforms such as Anthropic (Claude), Microsoft Copilot Studio, or Microsoft 365 Copilot
Familiarity with AI governance, responsible AI practices, and regulatory considerations
Ability to work within enterprise architecture or platform enablement functions
Exposure to usage analytics, reporting, and cost optimization frameworks

Licensure and Certification:

Microsoft Certified: Azure AI Engineer Associate or Azure DevOps Engineer Expert preferred
CKA (Certified Kubernetes Administrator) preferred

Working Conditions:

General office environment; may be required to sit or stand for extended periods of time
Travel is not typically required

Compensation Range:
$94,100.00 - $164,800.00
CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package.

Compensation Type (hourly/salary):
Salary

Organization Level Competencies

Fostering a Collaborative Workplace Culture
Cultivate Partnerships
Develop Self and Others
Drive Execution
Influence Others
Pursue Personal Excellence
Understand the Business

This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
#LI-GM1

Brand=CareSource

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: RTX11f1ed
Position Id: 87ea334b11f04ce93b6c9ad86709a566
Posted 7 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

AI Systems Engineer

Beavercreek, Ohio

•

Today

Applied Research Solutions (ARS) is seeking a skilled AI Systems Engineer to support, operate, and enhance the platforms that deliver AI capabilities across cloud and on prem environments. This role is focused on operational support, administration, and secure platform management-not AI research or model development. The ideal AI Systems Engineer candidate will have experience managing M365 Copilot, Azure OpenAI, and on-premise AI systems, with a strong understanding of how AI tools integrate w

Full-time

Enterprise AI Platform Director

Remote

•

Today

At EMC, we're all about working together to make an impact. As part of our team, you'll have the opportunity to grow, contribute, and gain experience that matters. We strive to be caring leaders, close partners, and responsive experts-always supporting each other to do our best work. Join us, and let's improve lives together. **This position is eligible to work from home anywhere in the US** The Enterprise AI Platform Director provides strategic and technical leadership for the enterprise AI p

Full-time

USD 156,324.00 - 223,550.00 per year

Associate AI Solutions Engineer

Remote or New Hampshire

•

Today

Overview What We Do CNXN Helix Center at Connection Inc., is at the forefront of AI innovation, offering cutting-edge solutions that redefine the boundaries of artificial intelligence and data management. We are dedicated to helping our clients navigate the complexities of AI integration, ensuring they stay ahead in a rapidly evolving technological landscape. Our commitment to excellence, innovation, and strategic growth makes us an industry leader. Visit us at ;br> Who We Are Our team is mad

Full-time

USD 86,000.00 - 110,575.00 per year

Sr AI Solutions Engineer

Remote or New Hampshire

•

Today

Full-time

USD 122,500.00 - 159,170.00 per year

Job Details

Skills

Cost Management
Accountability
Evaluation
Provisioning
Usability
Finance
IT Management
Budget
Forecasting
Data Security
Legal
Regulatory Compliance
Roadmaps
Computer Science
Software Engineering
Machine Learning Operations (ML Ops)
IaaS
Orchestration
Continuous Integration
Continuous Delivery
Machine Learning (ML)
Management
Microsoft Office
Enterprise Architecture
Analytics
Reporting
Optimization
Microsoft
Artificial Intelligence
Microsoft Azure
DevOps
Kubernetes
System Integration Testing
Training
Partnership
Brand

Cost Management
Accountability
Evaluation
Provisioning
Usability
Finance
IT Management
Budget
Forecasting
Data Security
Legal
Regulatory Compliance
Roadmaps
Computer Science
Software Engineering
Machine Learning Operations (ML Ops)
IaaS
Orchestration
Continuous Integration
Continuous Delivery
Machine Learning (ML)
Management
Microsoft Office
Enterprise Architecture
Analytics
Reporting
Optimization
Microsoft
Artificial Intelligence
Microsoft Azure
DevOps
Kubernetes
System Integration Testing
Training
Partnership
Brand

Summary

Own evaluation, prioritization, and controlled rollout of new capabilities, including pilot, scale, and deferment strategies, across AI platforms.
Define rollout strategies, including pilot cohorts and broad enablement approaches.
Establish and manage role-based access, usage tiers, entitlement models and related platform configurations.
Develop, maintain, and enforce approved usage patterns, platform guardrails and usage boundaries.
Coordinate rollout execution across access provisioning, communications, and enablement activities.
Define and track platform adoption metrics (e.g., active users, usage segmentation, engagement trends), identify and resolve adoption blockers, configuration gaps, and usability friction.
Identify high-value and low-value usage patterns across user cohorts.
Drive targeted adoption strategies to expand effective usage and reduce misaligned or low-value usage.
Partner with engineering and business stakeholders to capture measurable outcomes such as efficiency gains and delivery acceleration.
Own visibility into platform consumption, spend, and usage trends.
Analyze cost drivers across models, tools, and usage patterns.
Optimize platform usage through standardized patterns and model selection guidance.
Partner with Finance and IT leadership to support budgeting and forecasting.
Operationalize enterprise AI governance at the platform usage level.
Ensure compliance with data protection requirements, including PHI and PII constraints.
Establish and maintain auditability and monitoring practices.
Coordinate with Security, Risk, Legal, and AI Governance stakeholders to ensure alignment and compliance.
Maintain feature enablement settings and reporting configurations.
Develop and sustain operational playbooks for platform rollout and usage.
Act as the primary point of engagement for platform evolution and vendor interaction, providing structured feedback to vendors to influence roadmap alignment.
Maintain awareness of platform capabilities, roadmap changes, and enterprise impact.
Partner with architecture and engineering stakeholders to ensure platform usage aligns with enterprise patterns and standards.
Provide feedback into evolving design standards based on real-world platform capabilities and constraints.
Perform any other job related duties as requested.

Education and Experience:

Bachelor's degree in Computer Science, Software Engineering, or related technical field required
Equivalent years of relevant work experience may be accepted in lieu of required education
Five (5) years of IT engineering experience, with at least three (3) years specialized in DevOps, MLOps, or Cloud Infrastructure required
Experience with Azure AI Services (Azure OpenAI, AI Search, Azure ML) and container orchestration (Kubernetes/AKS) required
Experience building and maintaining CI/CD pipelines for machine learning models or complex software applications required

Competencies, Knowledge and Skills:

Familiarity with working with enterprise AI or advanced technology platforms
Strong understanding of AI/LLM capabilities and platform-based delivery models
Ability to manage adoption, enablement, or rollout of enterprise technology platforms
Familiarity with consumption-based cost models and optimization strategies
Ability to operate independently and lead initiatives in complex and ambiguous environments
Knowledgeable in AI platforms such as Anthropic (Claude), Microsoft Copilot Studio, or Microsoft 365 Copilot
Familiarity with AI governance, responsible AI practices, and regulatory considerations
Ability to work within enterprise architecture or platform enablement functions
Exposure to usage analytics, reporting, and cost optimization frameworks

Licensure and Certification:

Microsoft Certified: Azure AI Engineer Associate or Azure DevOps Engineer Expert preferred
CKA (Certified Kubernetes Administrator) preferred

Working Conditions:

General office environment; may be required to sit or stand for extended periods of time
Travel is not typically required

Fostering a Collaborative Workplace Culture
Cultivate Partnerships
Develop Self and Others
Drive Execution
Influence Others
Pursue Personal Excellence
Understand the Business

Dice Id: RTX11f1ed
Position Id: 87ea334b11f04ce93b6c9ad86709a566
Posted 7 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

AI Systems Engineer

Beavercreek, Ohio

•

Today

Full-time

Enterprise AI Platform Director

Remote

•

Today

Full-time

USD 156,324.00 - 223,550.00 per year

Associate AI Solutions Engineer

Remote or New Hampshire

•

Today

Full-time

USD 86,000.00 - 110,575.00 per year

Sr AI Solutions Engineer

Remote or New Hampshire

•

Today

Full-time

USD 122,500.00 - 159,170.00 per year