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Lead AI Engineer - Remote

Main Sail, LLC

Remote • Today

Easy Apply

Contract

85 - 95

Lead AI Engineer

MSYS Inc.

Remote • Today

Easy Apply

Contract

Depends on Experience

Lead AI Engineer - 100% Remote - Long Term Contract (Client in Columbus, OH) - B4194B

Technovision, Inc.

Remote • Today

Easy Apply

Third Party, Contract

Depends on Experience

Lead AI Engineer

Stefanini

Remote or Chicago, Illinois • 7d ago

Easy Apply

Contract

Market

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 Engineer- Remote

UnitedHealth Group

Remote or Richardson, Texas • Today

Full-time

USD 112,700.00 - 193,200.00 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 Software Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 112,700.00 - 193,200.00 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 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/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 Engineer

RedSalsa Technologies, Inc.

Remote • Today

Easy Apply

Third Party, Contract

Depends on Experience

Senior AI Engineer - Remote / Telecommute

Cynet Systems

Los Angeles, California • Yesterday

Easy Apply

Contract, Third Party

Depends on Experience

Senior AI Engineer - Remote Role

NTT DATA, Inc.

Remote or Dallas, Texas • Today

Full-time

USD 70.00 - 80.00 per hour

Lead AI Engineer

Saim Technologies

Santa Clara, California • Today

Easy Apply

Contract, Third Party

$70+

Lead AI Engineer

Citi

Irving, Texas • Today

Full-time

USD 156,160.00 - 234,240.00 per year

Lead AI Engineer

Amtex System Inc.

Hybrid in Rockville, Maryland • 6d ago

Easy Apply

Third Party, Contract

Depends on Experience

Lead AI Engineer

Latham & Watkins LLP

Los Angeles, California • Today

Full-time

USD 190,000.00 per year

Lead AI Engineer

EPAM Systems

Remote • Today

Full-time

Lead AI Engineer

Saim Technologies

Santa Clara, California • Today

Easy Apply

Contract, Third Party

$60 - $70

Lead AI Engineer, Business Operations (Hybrid or Remote)

AFL Network Services

Remote or Dallas, Texas • Today

Full-time

Lead AI Engineer

KeyCorp

Remote • Today

Full-time

USD 96,000.00 - 181,000.00 per year

Lead AI Engineer

Guardian Life Insurance Company

Holmdel, New Jersey • Today

Full-time

USD 118,980.00 - 195,465.00 per year

Lead AI Engineer

Granite Telecommunications

Quincy, Massachusetts • Today

Full-time

USD 180,000.00 - 280,000.00 per year

Lead AI Engineer

EPRI

Charlotte, North Carolina • Today

Full-time

USD 145,000.00 - 180,000.00 per year

Lead AI Engineer

OneStream Software LLC

Birmingham, Michigan • Today

Full-time

USD 151,000.00 - 196,000.00 per year

Lead AI Engineer NYC, NY, Financial Industry Experience

Charter Global, Inc.

Hybrid in New York, New York • 30+d ago

Easy Apply

Third Party, Contract

$70 - $80

Job Details

Skills

AI Conversational Agent
Generative AI
Google Conversational
CX Agent Studio
Dialogflow CX Web
Voice Virtual Asisstants
Lookre
AWS

Summary

Main Sail is seeking an experienced Lead AI Engineer, with expertise in context engineering and agent design who will develop AI solutions in Google, AWS and Microsoft ecosystems and will have the opportunity to mentor and lead AI engineers in the team. Responsibilities include building and (/or) mentoring AI engineers to build conversational agents, integrating with natural language processing or generative AI, and agents/ virtual assistants to software applications. AI Engineer is responsible for designing and delivering data access through APIs and ensuring that these solutions are securely deployed.

Core Responsibilities

Developing applications that interact with web services, APIs, and other software applications.
Mentoring and leading AI design and development efforts as needed.
Conducting peer reviews for AI design and development efforts to ensure existing standards are adhered to and establish additional standards as needed.
Designing the overall structure of Agentic AI solutions, including determining necessary features, user flow, API development and integration with other systems. Requires understanding of API design principles and specific constraints of AI service interfaces.
Implementing and tuning Natural Language Processing techniques to improve AI assistants’ understanding and response accuracy.
Training and deploying AI models, and monitoring solution performance by creating and utilizing Dashboards.
Creating custom indexes, managing data sources, and tuning intent matches to improve accuracy and relevance of results within the AI solution context.
Designing conversational flows that provide a seamless and intuitive user experience, with strong focus on making the agent interactions as human-like and engaging as possible.
Analyzing agent interaction data to identify patterns, trends, and areas for improvement. Preparing reports on agent performance metrics.
Identifying and resolving issues related to agent performance, including debugging and updating the system as necessary.
Ensuring the AI agent/ conversational assistant complies with data privacy laws and maintaining high standards of security, especially when handling sensitive user data.
Working effectively with cross-functional teams, including business analysts, UX designers, project managers, and business customers and business SMEs from across the enterprise. Good communication skills are essential.
Collaborating effectively with Automation Center of Excellence (CoE) team members, incorporating the established standards; adhering to organization process and ensuring that solutions align with target architectures and technology roadmaps.
Ensuring that AI systems operate safely, transparently and within acceptable boundaries in alignment with the organization’s governance policies and practices.
Planning, initiating and spearheading proof of concept (POC) initiatives using emerging technologies.
Technical writing leveraging tools such as Word, PowerPoint, Visio, SharePoint, and Excel to develop presentations and white papers.

Skills & Credentials

Extensive knowledge and experience developing AI Conversation agents using Google tools such as CX Agent Studio, Google Conversational Agents, Google Dialogflow CX, and(/or) Google CCAI Services is required.
Experience in creating and maintaining Enterprise Looker Dashboards for monitoring performance of implemented AI Agents is required.
Experience developing Generative AI solutions in AWS ecosystem including but not limited to AWS services such as AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda and Step Functions is required.
Ability to develop AI agents/ virtual assistants using Microsoft Foundry with Azure services like Azure AI Search, and Azure AI Language Service, Microsoft Power Platform and Microsoft CoPilot Studio.
Ability to integrate virtual assistants with various Microsoft services (such as Office 365, SharePoint) and third-party APIs to enhance functionality.
Deep understanding of API design principles and specific constraints of AI service interfaces.
Strong programming skills in languages such as C#, .NET, JavaScript, or Python. Experience in developing, testing, and deploying chatbot applications.
Ability to facilitate and lead discussions with business SME’s
Ability to create and present Ai solution proposals and communicate both business and technical concepts.
Ability to lead and conduct emerging technology analysis and conduct proof of concept initiatives.
Experience in training and deploying AI models.
Experience in leading efforts to create technology solutions and architectures impacting critical areas of the business.
Ability to establish and maintain a high-level of customer trust and confidence.
Ability to think critically and solve problems.
Strong consultative skills at a cross-functional level.

Education & Experience

Bachelor’s degree in computer science, Information systems or related discipline, or equivalent and extensive related project experience; Master’s degree preferred.
Six years of experience in IT, with at least 4 years AI Conversational Agents and (or) Generative AI combined implementation experience using Microsoft, Google and AWS ecosystems.
2 years’ AI Engineer Experience developing Google conversational agents / CX Agent Studio / Dialogflow CX Web and Voice Virtual Assistants is mandatory.
2 years developing Enterprise Looker Dashboards to monitor AI Agent performance is mandatory
2 years’ AI Engineer Experience in AWS ecosystems using AWS services such as AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda and Step Functions are mandatory.
Agentic AI Developer Experience using Microsoft Foundry is preferred.
Experience developing and maintaining SharePoint online solutions using MS Power Platform preferred.
Google and AWS Certifications relevant to this role preferred.
Minimum of six years of hands-on design and implementation experience in IT, with knowledge in a minimum of two of the following technical disciplines:

Application development
Network design
Middleware
Servers and storage
Database management
Operations
Artificial intelligence and machine learning fundamentals
Natural language processing (NLP) and large language model (LLM) integration

Requirements

Bachelor’s degree in computer science, Information systems or related discipline, or equivalent and extensive related project experience - Required
Six years of experience in IT, with at least 4 years AI Conversational Agents and (or) Generative AI combined implementation experience - Required 6 Years
AI Engineer Experience developing Google conversational agents / CX Agent Studio / Dialogflow CX Web and Voice Virtual Assistants - Required 2 Years
2 years developing Enterprise Looker Dashboards to monitor AI Agent performance - Required 2 Years
AI Engineer Experience in AWS ecosystems using AWS services such as AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda and Step Functions - Required 2 Years
Google and AWS Certifications relevant to this role preferred. - Highly desired

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: 10110127
Position Id: 26-00191
Posted 6 hours ago

Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Contact the job poster

Rachel Roberts

Technical Recruiter @ Main Sail, LLC

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Similar Jobs

Lead AI Engineer

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•

Today

Title : AI Engineer Lead Location : Columbus, OH Duration : 9 + Months Job Type : C AI Engineer Lead Job Description Role SummaryClient is seeking an experienced Lead AI Engineer, with expertise in context engineering and agent design who will develop AI solutions in Google, AWS and Microsoft ecosystems and will have the opportunity to mentor and lead AI engineers in the team. Responsibilities include building and (/or) mentoring AI engineers to build conversational agents, integrating with na

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Third Party, Contract

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Lead AI Engineer

Remote

•

Today

Title:Lead AI Engineer Location:RemoteLength:Long termRestriction:w2 or c2cDescription:Mode of Interview :- Webcam interview Long term contract Remote Job Description: Role Summary The clientis seeking an experienced Lead AI Engineer, with expertise in context engineering and agent design who will develop AI solutions in Google, AWS and Microsoft ecosystems and will have the opportunity to mentor and lead AI engineers in the team. Responsibilities include building and (/or) mentoring AI engine

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Lead AI Engineer - 100% Remote - Long Term Contract (Client in Columbus, OH) - B4194B

Remote

•

Today

Our direct client is looking for a Lead AI Engineer for a 100% Remote Long Term Contract in Columbus, OH. J0B DESCRIPTION: - Client is seeking an experienced Lead AI Engineer, with expertise in context engineering and agent design who will develop AI solutions in Google, AWS and Microsoft ecosystems and will have the opportunity to mentor and lead AI engineers in the team. - Responsibilities include building and (/or) mentoring AI engineers to build conversational agents, integrating with natur

Easy Apply

Third Party, Contract

Depends on Experience

OH - Lead AI Engineer (Google CCAI, MS Foundry, AWS) - Remote - 808940

Remote

•

Today

Job Title: Lead AI Engineer (Google CCAI, MS Foundry, AWS) - Remote Job ID: 808940 Client: State of Ohio - JFS Closing Date:08/18/2026 at 4.00 PM Interview - Teams Role Summary JFS is seeking an experienced Lead AI Engineer, with expertise in context engineering and agent design who will develop AI solutions in Google, AWS and Microsoft ecosystems and will have the opportunity to mentor and lead AI engineers in the team. Responsibilities include building and (/or) mentoring AI engine

Easy Apply

Contract, Third Party

Depends on Experience

Job Details

Skills

AI Conversational Agent
Generative AI
Google Conversational
CX Agent Studio
Dialogflow CX Web
Voice Virtual Asisstants
Lookre
AWS

Summary

Developing applications that interact with web services, APIs, and other software applications.
Mentoring and leading AI design and development efforts as needed.
Conducting peer reviews for AI design and development efforts to ensure existing standards are adhered to and establish additional standards as needed.
Designing the overall structure of Agentic AI solutions, including determining necessary features, user flow, API development and integration with other systems. Requires understanding of API design principles and specific constraints of AI service interfaces.
Implementing and tuning Natural Language Processing techniques to improve AI assistants’ understanding and response accuracy.
Training and deploying AI models, and monitoring solution performance by creating and utilizing Dashboards.
Creating custom indexes, managing data sources, and tuning intent matches to improve accuracy and relevance of results within the AI solution context.
Designing conversational flows that provide a seamless and intuitive user experience, with strong focus on making the agent interactions as human-like and engaging as possible.
Analyzing agent interaction data to identify patterns, trends, and areas for improvement. Preparing reports on agent performance metrics.
Identifying and resolving issues related to agent performance, including debugging and updating the system as necessary.
Ensuring the AI agent/ conversational assistant complies with data privacy laws and maintaining high standards of security, especially when handling sensitive user data.
Working effectively with cross-functional teams, including business analysts, UX designers, project managers, and business customers and business SMEs from across the enterprise. Good communication skills are essential.
Collaborating effectively with Automation Center of Excellence (CoE) team members, incorporating the established standards; adhering to organization process and ensuring that solutions align with target architectures and technology roadmaps.
Ensuring that AI systems operate safely, transparently and within acceptable boundaries in alignment with the organization’s governance policies and practices.
Planning, initiating and spearheading proof of concept (POC) initiatives using emerging technologies.
Technical writing leveraging tools such as Word, PowerPoint, Visio, SharePoint, and Excel to develop presentations and white papers.

Skills & Credentials

Extensive knowledge and experience developing AI Conversation agents using Google tools such as CX Agent Studio, Google Conversational Agents, Google Dialogflow CX, and(/or) Google CCAI Services is required.
Experience in creating and maintaining Enterprise Looker Dashboards for monitoring performance of implemented AI Agents is required.
Experience developing Generative AI solutions in AWS ecosystem including but not limited to AWS services such as AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda and Step Functions is required.
Ability to develop AI agents/ virtual assistants using Microsoft Foundry with Azure services like Azure AI Search, and Azure AI Language Service, Microsoft Power Platform and Microsoft CoPilot Studio.
Ability to integrate virtual assistants with various Microsoft services (such as Office 365, SharePoint) and third-party APIs to enhance functionality.
Deep understanding of API design principles and specific constraints of AI service interfaces.
Strong programming skills in languages such as C#, .NET, JavaScript, or Python. Experience in developing, testing, and deploying chatbot applications.
Ability to facilitate and lead discussions with business SME’s
Ability to create and present Ai solution proposals and communicate both business and technical concepts.
Ability to lead and conduct emerging technology analysis and conduct proof of concept initiatives.
Experience in training and deploying AI models.
Experience in leading efforts to create technology solutions and architectures impacting critical areas of the business.
Ability to establish and maintain a high-level of customer trust and confidence.
Ability to think critically and solve problems.
Strong consultative skills at a cross-functional level.

Education & Experience

Bachelor’s degree in computer science, Information systems or related discipline, or equivalent and extensive related project experience; Master’s degree preferred.
Six years of experience in IT, with at least 4 years AI Conversational Agents and (or) Generative AI combined implementation experience using Microsoft, Google and AWS ecosystems.
2 years’ AI Engineer Experience developing Google conversational agents / CX Agent Studio / Dialogflow CX Web and Voice Virtual Assistants is mandatory.
2 years developing Enterprise Looker Dashboards to monitor AI Agent performance is mandatory
2 years’ AI Engineer Experience in AWS ecosystems using AWS services such as AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda and Step Functions are mandatory.
Agentic AI Developer Experience using Microsoft Foundry is preferred.
Experience developing and maintaining SharePoint online solutions using MS Power Platform preferred.
Google and AWS Certifications relevant to this role preferred.
Minimum of six years of hands-on design and implementation experience in IT, with knowledge in a minimum of two of the following technical disciplines:

Application development
Network design
Middleware
Servers and storage
Database management
Operations
Artificial intelligence and machine learning fundamentals
Natural language processing (NLP) and large language model (LLM) integration

Requirements

Bachelor’s degree in computer science, Information systems or related discipline, or equivalent and extensive related project experience - Required
Six years of experience in IT, with at least 4 years AI Conversational Agents and (or) Generative AI combined implementation experience - Required 6 Years
AI Engineer Experience developing Google conversational agents / CX Agent Studio / Dialogflow CX Web and Voice Virtual Assistants - Required 2 Years
2 years developing Enterprise Looker Dashboards to monitor AI Agent performance - Required 2 Years
AI Engineer Experience in AWS ecosystems using AWS services such as AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda and Step Functions - Required 2 Years
Google and AWS Certifications relevant to this role preferred. - Highly desired

Dice Id: 10110127
Position Id: 26-00191
Posted 6 hours ago

Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Contact the job poster

Rachel Roberts

Technical Recruiter @ Main Sail, LLC

View Profile

Create job alert

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

Similar Jobs

Lead AI Engineer

Remote

•

Today

Easy Apply

Third Party, Contract

Depends on Experience

Lead AI Engineer

Remote

•

Today

Easy Apply

Contract

Depends on Experience

Lead AI Engineer - 100% Remote - Long Term Contract (Client in Columbus, OH) - B4194B

Remote

•

Today

Easy Apply

Third Party, Contract

Depends on Experience

OH - Lead AI Engineer (Google CCAI, MS Foundry, AWS) - Remote - 808940

Remote

•

Today

Easy Apply

Contract, Third Party

Depends on Experience