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119 results (6 new)

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Applied AI Architect @ Remote - Nashville, TN

ITBMS Inc.

Hybrid in Nashville, Tennessee • Yesterday

Easy Apply

Contract

65+

Applied AI Product Manager (BSA) @(Remote) Travel Required upto 20% To Nashville,TN

ITBMS Inc.

Hybrid in Nashville, Tennessee • Yesterday

Easy Apply

Contract

70+

senior engineer, AI (Nashville, TN)

Starbucks Coffee Company

Nashville, Tennessee • Today

Full-time

AI Architect

Bitwise

Remote • 8d ago

Easy Apply

Full-time

Depends on Experience

Job Senior Conversational AI Architect at Remote

PropelSys Technologies LLC.

Remote or Hybrid in Texas • Today

Easy Apply

Contract, Third Party

AI Architect

Augusta Hitech Soft Solutions LLC

Remote • 12d ago

Easy Apply

Contract

Depends on Experience

AI / GenAI Architect / Sr. Lead (Contract)_Remote

Keylent

Remote • 6d ago

Easy Apply

Full-time

Depends on Experience

AI ARCHITECT

Whiz Global LLC

Remote • 7d ago

Easy Apply

Contract

Depends on Experience

AI Engineer/ Architect – Generative AI & Agentic AI - 100% Remote - W2/C2C

Covetus, LLC

Remote • 8d ago

Easy Apply

Contract

Depends on Experience

Principal Platform Software Engineer, AI

Oracle Corporation

Nashville, Tennessee • Today

Full-time

USD 104,500.00 - 234,600.00 per year

Solutions Architect & Application Design with AI

Next Gen IT Inc

Remote • Today

Easy Apply

Contract

80 - 85

AI Architect

New Digital IT Inc.

Remote • 5d ago

Easy Apply

Contract

Depends on Experience

(W2 Only) Digital AI Architect - Remote (fulltime)

MetaSense, Inc.

Remote • 2d ago

Easy Apply

Contract

120000 - 130000

RPA AI Automation Architect

Global Soft Systems

Remote or Louisville, Kentucky • Today

Easy Apply

Contract

Senior Staff, AI Architect - REMOTE

Westinghouse Electric Company LLC

Remote or Cranberry, North Carolina • Today

Full-time

USD 103,200.00 - 129,000.00 per year

AI Solution Architect - Remote

UnitedHealth Group

Remote or Denver, Colorado • Today

Full-time

USD 112,700.00 - 193,200.00 per year

AI Engineer/Architect

General Dynamics

Remote • Today

Full-time

USD 149,469.00 - 201,250.00 per year

AI Architect

IT Trailblazers, LLC

Remote • Today

Easy Apply

Contract, Third Party

Depends on Experience

Applications Developer II AI (REMOTE)

Cordis

Remote or Miami Lakes, Florida • Today

Full-time

AI Architect

Intraedge

Remote • 14d ago

Easy Apply

Contract, Third Party

Depends on Experience

Staff Forward Deployed Engineer - Applied AI (Remote)

Rula Health

Remote • Today

Full-time

USD 192,000.00 - 240,000.00 per year

Principal AI & Salesforce Architect - Remote in US

NTT DATA, Inc.

Remote or Texas • Today

Full-time

USD 128,858.00 - 238,625.00 per year

AI/ML Researcher

Whiztek Corp

Remote • 9d ago

Easy Apply

Contract, Third Party

Depends on Experience

ServiceNow Application Architect (Remote)

Koniag, Inc.

Remote or Washington, District of Columbia • Today

Full-time

USD 150,000.00 per year

Ai Engineer ( AI Vibe Coding )

Conch Technologies

Remote • 7d ago

Easy Apply

Third Party, Contract

Depends on Experience

Only W2 - AI/ML Lead Engineer - Remote (fulltime)

MetaSense, Inc.

Remote • 2d ago

Easy Apply

Contract

100000 - 120000

Sr Gen AI Engineer

Whiztek Corp

Remote • 7d ago

Easy Apply

Third Party, Contract

Depends on Experience

Senior AI/ML Consultant

ScaleHealthTech LLC

Remote • Today

Easy Apply

Contract

Depends on Experience

Software Engineer/Developer (AI Focus) -

Pyramid Systems, Inc.

Remote • 22d ago

Easy Apply

Full-time

$165,000 - $195,000

Architect | GRC/AI Governance (Remote)

Trace3

Remote or Dallas, Texas • Today

Full-time

USD 135,000.00 - 163,000.00 per year

Job Details

Skills

Attention To Detail
Amazon Web Services
Collaboration
Communication
AngularJS
Artificial Intelligence
Cloud Computing
ADO
Accountability
Algorithms
C#
Good Clinical Practice
Google Cloud Platform
Instrumentation
Generative Artificial Intelligence (AI)
Immigration
Embedded Systems
Extreme Programming
Investments
Product Engineering
Product Management
Programming Languages
Open Source
Orchestration
PaaS
Mentorship
Microsoft Azure
NoSQL
Node.js
Lean Methodology
Machine Learning (ML)
Management
GitHub
KPI
LangChain
LangSmith
DevSecOps
Development Testing
Documentation
Data Science
Data Structure
Data-flow Diagrams
Computer Science
Continuous Improvement
Unit Testing
Vector Databases
Specification Gathering
Requirements Analysis
Software Engineering
Prototyping
PyTorch
Python
React.js
Java
OOD
Pivotal
Prompt Engineering
SQL
.NET
TensorFlow
Testing
Vertex

Attention To Detail
Amazon Web Services
Collaboration
Communication
AngularJS
Artificial Intelligence
Cloud Computing
ADO
Accountability
Algorithms
C#
Good Clinical Practice
Google Cloud Platform
Instrumentation
Generative Artificial Intelligence (AI)
Immigration
Embedded Systems
Extreme Programming
Investments
Product Engineering
Product Management
Programming Languages
Open Source
Orchestration
PaaS
Mentorship
Microsoft Azure
NoSQL
Node.js
Lean Methodology
Machine Learning (ML)
Management
GitHub
KPI
LangChain
LangSmith
DevSecOps
Development Testing
Documentation
Data Science
Data Structure
Data-flow Diagrams
Computer Science
Continuous Improvement
Unit Testing
Vector Databases
Specification Gathering
Requirements Analysis
Software Engineering
Prototyping
PyTorch
Python
React.js
Java
OOD
Pivotal
Prompt Engineering
SQL
.NET
TensorFlow
Testing
Vertex

Summary

We are looking for an experienced Applied AI Engineering Lead with 6 to 8 years of overall experience to actively engage in the engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for business investments. You will leverage your engineering craftsmanship and proficiency across multiple programming languages and modern frameworks, consistently demonstrating a strong track record in delivering high-quality, outcome-focused solutions.

The ideal candidate will be a role-model leader and mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions, while actively leveraging AI and agentic tools across the engineering lifecycle to improve speed, quality, and consistency of delivery.

Responsibilities

Embrace and drive a culture of accountability for customer and business outcomes, developing engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.
Serve as a technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals.
Lead requirement analysis, low-level architecture and component design, development, testing, integrations, and support.
Maintain accountability for the integrity of architecture and technical stack to enterprise standards, managing dependencies, code design, implementation, quality, data, and ongoing maintenance and operations.
Stay hands-on, self-driven, and continuously learn new approaches, languages, frameworks, and AI-enabled engineering practices.
Create technical specifications, write high-quality, supportable, scalable code, and review code of other engineers, mentoring them to ensure quality KPIs are met or exceeded.
Develop lean engineering solutions through rapid, inexpensive experimentation, including AI-built prototypes, to solve customer needs.
Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
Adopt a mindset that favors action and evidence over extensive planning, navigating complexity and uncertainty to deliver lean, supportable, and maintainable solutions.
Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery, integrating diverse perspectives to make well-informed decisions.
Apply AI and Agentic SSDLC practices to support rapid, automated deployments with quality checks embedded across the development lifecycle.
Use AI tools for code generation, review, testing, and documentation to accelerate delivery while maintaining quality standards.
Quickly acquire domain-specific knowledge relevant to the business or product, translating business and user needs into technical specifications and code.
Exhibit strong communication skills, articulating complex technical concepts clearly and influencing teammates and product teams through well-structured, evidence-based arguments.
Engage and collaborate with product engineering teams at all organizational levels, building constructive relationships and fostering a culture of co-creation.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Data Science, Machine Learning, or a related discipline.
6 to 8 years of experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit testing frameworks.
2+ years of experience building AI/ML applications, with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, and vector databases.
2+ years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or Google Cloud Platform, including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI.
Experience establishing or contributing to engineering standards, including mentoring and guiding team members in the adoption and continuous improvement of these standards.
Prior software engineering experience with understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, code instrumentation, and AI-augmented spec-driven development.
Prior experience using methodologies and tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent multi-agent orchestration tools) to deliver high-quality products rapidly.
Ability to work in your local office at a minimum of 3 days per week.
Limited immigration sponsorship may be available.
Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
Ability to work independently and collaborate as part of a team.
Effective written and verbal communication skills.
Meticulous attention to detail and quality of work product.
Ability to build and sustain professional relationships.
Ability to lead projects or workstreams.
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
Strong interpersonal skills and professional demeanor.
Ability to meet deadlines.
Ability to mentor and provide clear guidance to others.

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: 10217051
Position Id: 9138297
Posted 1 day ago

Fitment

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Job Details

Skills

Attention To Detail
Amazon Web Services
Collaboration
Communication
AngularJS
Artificial Intelligence
Cloud Computing
ADO
Accountability
Algorithms
C#
Good Clinical Practice
Google Cloud Platform
Instrumentation
Generative Artificial Intelligence (AI)
Immigration
Embedded Systems
Extreme Programming
Investments
Product Engineering
Product Management
Programming Languages
Open Source
Orchestration
PaaS
Mentorship
Microsoft Azure
NoSQL
Node.js
Lean Methodology
Machine Learning (ML)
Management
GitHub
KPI
LangChain
LangSmith
DevSecOps
Development Testing
Documentation
Data Science
Data Structure
Data-flow Diagrams
Computer Science
Continuous Improvement
Unit Testing
Vector Databases
Specification Gathering
Requirements Analysis
Software Engineering
Prototyping
PyTorch
Python
React.js
Java
OOD
Pivotal
Prompt Engineering
SQL
.NET
TensorFlow
Testing
Vertex

Attention To Detail
Amazon Web Services
Collaboration
Communication
AngularJS
Artificial Intelligence
Cloud Computing
ADO
Accountability
Algorithms
C#
Good Clinical Practice
Google Cloud Platform
Instrumentation
Generative Artificial Intelligence (AI)
Immigration
Embedded Systems
Extreme Programming
Investments
Product Engineering
Product Management
Programming Languages
Open Source
Orchestration
PaaS
Mentorship
Microsoft Azure
NoSQL
Node.js
Lean Methodology
Machine Learning (ML)
Management
GitHub
KPI
LangChain
LangSmith
DevSecOps
Development Testing
Documentation
Data Science
Data Structure
Data-flow Diagrams
Computer Science
Continuous Improvement
Unit Testing
Vector Databases
Specification Gathering
Requirements Analysis
Software Engineering
Prototyping
PyTorch
Python
React.js
Java
OOD
Pivotal
Prompt Engineering
SQL
.NET
TensorFlow
Testing
Vertex

Summary

Responsibilities

Embrace and drive a culture of accountability for customer and business outcomes, developing engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.
Serve as a technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals.
Lead requirement analysis, low-level architecture and component design, development, testing, integrations, and support.
Maintain accountability for the integrity of architecture and technical stack to enterprise standards, managing dependencies, code design, implementation, quality, data, and ongoing maintenance and operations.
Stay hands-on, self-driven, and continuously learn new approaches, languages, frameworks, and AI-enabled engineering practices.
Create technical specifications, write high-quality, supportable, scalable code, and review code of other engineers, mentoring them to ensure quality KPIs are met or exceeded.
Develop lean engineering solutions through rapid, inexpensive experimentation, including AI-built prototypes, to solve customer needs.
Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
Adopt a mindset that favors action and evidence over extensive planning, navigating complexity and uncertainty to deliver lean, supportable, and maintainable solutions.
Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery, integrating diverse perspectives to make well-informed decisions.
Apply AI and Agentic SSDLC practices to support rapid, automated deployments with quality checks embedded across the development lifecycle.
Use AI tools for code generation, review, testing, and documentation to accelerate delivery while maintaining quality standards.
Quickly acquire domain-specific knowledge relevant to the business or product, translating business and user needs into technical specifications and code.
Exhibit strong communication skills, articulating complex technical concepts clearly and influencing teammates and product teams through well-structured, evidence-based arguments.
Engage and collaborate with product engineering teams at all organizational levels, building constructive relationships and fostering a culture of co-creation.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Data Science, Machine Learning, or a related discipline.
6 to 8 years of experience with most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, as well as unit testing frameworks.
2+ years of experience building AI/ML applications, with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, and vector databases.
2+ years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or Google Cloud Platform, including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI.
Experience establishing or contributing to engineering standards, including mentoring and guiding team members in the adoption and continuous improvement of these standards.
Prior software engineering experience with understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, code instrumentation, and AI-augmented spec-driven development.
Prior experience using methodologies and tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent multi-agent orchestration tools) to deliver high-quality products rapidly.
Ability to work in your local office at a minimum of 3 days per week.
Limited immigration sponsorship may be available.
Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
Ability to work independently and collaborate as part of a team.
Effective written and verbal communication skills.
Meticulous attention to detail and quality of work product.
Ability to build and sustain professional relationships.
Ability to lead projects or workstreams.
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
Strong interpersonal skills and professional demeanor.
Ability to meet deadlines.
Ability to mentor and provide clear guidance to others.

Dice Id: 10217051
Position Id: 9138297
Posted 1 day 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.

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