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121 results (8 new)

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Sr. AI Developer || New York, New York- Local to Tri state

Stellent IT LLC

New York, New York • Today

Easy Apply

Contract, Third Party

Sr. AI Developer - Hybrid NYC

Randstad Digital

New York, New York • Today

Contract

USD65 - USD75

GenAI Platform Lead / Senior Python AI Engineer

BCforward

New York, New York • Today

Easy Apply

Contract

$71.00 - $71.59 per hour

Senior Software Engineer, AI (New York)

Fitch Group

New York, New York • 20d ago

Full-time

USD 140,000.00 - 150,000.00 per year

Onsite Position: Sr AI/LLM Engineer with Financial or Banking exp in NY (Local to NY)

Visionsoft International

New York, New York • 14d ago

Easy Apply

Third Party, Contract

Depends on Experience

AI Data Enablement Leader, Senior Director (New York)

Fitch Group

New York, New York • Today

Full-time

USD 190,000.00 - 240,000.00 per year

Gen AI Architect/Lead

IKCON TECHNOLOGIES Inc.

Newark, New Jersey • 6d ago

Easy Apply

Third Party, Contract

Senior Technical Program Manager With AI Experience (20 Years) (NEED LOCAL TO NJ) (IN PERSON INTERVIEW)

ERPA

Hybrid in Jersey City, New Jersey • Yesterday

Easy Apply

Contract

Depends on Experience

Lead AI Developer - REMOTE

VeridianTech

Jersey City, New Jersey • Today

Easy Apply

Full-time, Part-time, Contract, Third Party

Sr. Gen AI Engineer

Photon

New York, New York • Yesterday

Easy Apply

Full-time

Depends on Experience

AI Enablement Senior Analyst

Brown Brothers Harriman

New York, New York • Today

Full-time

USD 90,000.00 - 130,000.00 per year

Lead Applied AI Engineer

Innova Solutions, Inc

New York, New York • 30+d ago

Easy Apply

Contract

Depends on Experience

Lead AI-ML Engineer (Generative AI & LLM)

Visionsoft International

New York, New York • 10d ago

Easy Apply

Contract

Depends on Experience

Senior Software AI Engineer / Robotics / Brooklyn

Motion Recruitment Partners, LLC

Brooklyn, New York • Today

Easy Apply

Full-time

$165000 - $265000

AI Product Senior Director

FanDuel

New York, New York • Today

Full-time

USD 230,000.00 - 302,000.00 per year

Applied AIML Data Scientist Lead - Vice President

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 171,000.00 - 260,000.00 per year

Applied ML and Generative AI Lead - Vice President

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 171,000.00 - 260,000.00 per year

Senior Python Developer / AI-ML Engineer

Vertex Computer Systems

Hybrid in New York, New York • 20d ago

Easy Apply

Full-time

75 - 90

Senior Network Automation Engineer - Hybrid

Genesis10

Jersey City, New Jersey • Today

Easy Apply

Full-time

USD 63.68 - 71.68 per hour

Applied AI ML Senior Associate -AI Agents & Agentic Systems

JPMorgan Chase & Co.

New York, New York • Today

Full-time

USD 137,750.00 - 195,000.00 per year

Senior Network Automation Engineer

Apex Systems

Jersey City, New Jersey • Today

Easy Apply

Full-time

$70 - $73 per hour

Senior Manager - Data Science

American Express

New York, New York • Today

Full-time

USD 123,000.00 - 215,250.00 per year

Lead Python Engineer-Senior Vice President

Citi

Rutherford, New Jersey • Today

Full-time

USD 176,720.00 - 265,080.00 per year

Senior AI Engineer, Banking Technology

Citi

Jersey City, New Jersey • Today

Full-time

USD 142,320.00 - 213,480.00 per year

Sr. Data Scientist

Chubb

Hoboken, New Jersey • 4d ago

Full-time

USD 125,400.00 - 182,600.00 per year

Machine Learning Engineer - Document Digitization (LLMs)-Senior Associate

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 137,750.00 - 195,000.00 per year

Applied AI/ML Lead

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 171,000.00 - 260,000.00 per year

Applied AI Lead Engineer for Banking Technology

Citi

Jersey City, New Jersey • Today

Full-time

USD 176,720.00 - 265,080.00 per year

Machine Learning Engineer 5 (Senior Manager, IC)

Capital One

New York, New York • Today

Full-time

Senior Manager, Machine Learning Engineer (People Leader)

Capital One

New York, New York • Today

Full-time

Job Details

Skills

Recruiting
FOCUS
Open Source
Customer Service
Telecommunications
Banking
Google Cloud Platform
Google Cloud
Orchestration
Prompt Engineering
Node.js
Reporting
Interfaces
HTML
Cascading Style Sheets
React.js
AngularJS
Dashboard
Analytics
YAML
Test Strategy
Regression Analysis
Root Cause Analysis
Mentorship
Sprint
Documentation
Computer Science
Software Engineering
Python
JavaScript
TypeScript
JSON
Microsoft Certified Professional
Customer Experience
Artificial Intelligence
Interactive Voice Response
Genesys
Amazon Web Services
SQL
Automated Testing
Git
Code Review
Terraform
Communication
Evaluation
GUI QA
Cypress
Selenium
DevOps
Continuous Integration
Continuous Delivery
ServiceNow
.NET
C#
OAuth
API
Management
Web Browsers
SAFE
Agile
Docker
Kubernetes
Cloud Computing
Microsoft Azure

Recruiting
FOCUS
Open Source
Customer Service
Telecommunications
Banking
Google Cloud Platform
Google Cloud
Orchestration
Prompt Engineering
Node.js
Reporting
Interfaces
HTML
Cascading Style Sheets
React.js
AngularJS
Dashboard
Analytics
YAML
Test Strategy
Regression Analysis
Root Cause Analysis
Mentorship
Sprint
Documentation
Computer Science
Software Engineering
Python
JavaScript
TypeScript
JSON
Microsoft Certified Professional
Customer Experience
Artificial Intelligence
Interactive Voice Response
Genesys
Amazon Web Services
SQL
Automated Testing
Git
Code Review
Terraform
Communication
Evaluation
GUI QA
Cypress
Selenium
DevOps
Continuous Integration
Continuous Delivery
ServiceNow
.NET
C#
OAuth
API
Management
Web Browsers
SAFE
Agile
Docker
Kubernetes
Cloud Computing
Microsoft Azure

Summary

MUST HAVE GECX experience.

Recruiting Strategy:

Target local NYC/Tri-State area candidates since this is a hybrid role requiring on-site presence.
Search for heavy backend Python engineers who also have experience with .NET and JavaScript/TypeScript to ensure they can manage API connections to Azure and ServiceNow.
Focus on candidates with enterprise-level Conversational AI experience, specifically looking for Google Cloud Platform (GECX / Dialogflow CX) rather than just open-source LLM experimentation.
Seek out candidates from large-scale customer service, telecom, or banking environments who have direct experience integrating with IVR platforms like Genesys or Amazon Connect.
Prioritize candidates who are self-sufficient in DevOps and infrastructure, explicitly looking for Terraform and Azure DevOps pipeline experience.
Look for senior-level engineers with proven mentorship and architecture experience, as they will be leading design decisions, sprint planning, and guiding junior developers.

We're looking for a Senior AI Agent Developer to lead the design, build, and support of enterprise conversational AI agents and the web experiences around them. You'll own key parts of the architecture on Google Cloud Platform (GECX / Dialogflow CX), connect agents to Azure, Google Cloud and ServiceNow, and set the standards for how agents, fulfillment services, and front-end interfaces are built, tested, and released. You'll also mentor engineers and work closely with product, platform, and operations teams.

Key Responsibilities & Outcomes

Lead the design of conversational flows, route groups, intents, and LLM-powered tools in GECX / Dialogflow CX, and set patterns for agents built with Google's Agent Development Kit (ADK).
Make architecture decisions for agent orchestration, tool design, and handoffs between agents, fulfillment services, and human agents.
Lead the design of Contact Center AI (CCAI) solutions, including integration with IVR platforms such as Genesys and Amazon Connect.
Define prompt engineering and intent classification standards and evaluate changes against measurable quality criteria.
Design and build REST APIs, webhooks, and services in Python (primary) with .NET or Node.js that connect agents to ServiceNow, Azure systems, and IVR platforms.
Establish API contracts, versioning, and error-handling standards, including MCP integration patterns.
Write and optimize SQL for agent lookups, reporting, and conversational analytics.
Lead the development of responsive, accessible interfaces using HTML, CSS, and TypeScript with React or Angular.
Set front-end patterns for API connection, loading states, error handling, and session management in the browser.
Own security practices for browser-facing code, including CORS, XSS prevention, and secure handling of tokens and secrets.
Build internal dashboards for agent analytics, test results, and admin tasks.
Own and improve Azure DevOps pipelines that validate and deploy agent configurations, fulfillment services, and front-end builds. Review and approve changes to YAML pipelines.
Define infrastructure as code standards with Terraform for the agent platform, fulfillment services, and supporting cloud resources, and review changes to Terraform modules.
Define the testing strategy across unit tests, webhook API tests, dialog flow regression tests, and front-end component tests. Drive coverage targets and quality gates.
Lead incident investigation and root-cause analysis for production issues and failed test runs. Document findings and drive follow-through.
Monitor agent performance and reliability and contribute to observability and AIOps practices.
Mentor junior and mid-level developers through code reviews, pairing, and technical guidance.
Participate in and help lead sprint planning, backlog refinement, and Program Increment (PI) planning within a SAFe environment.
Partner with product owners and stakeholders to translate business requirements into technical designs and realistic delivery plans.
Keep architecture diagrams, flow designs, API documentation, and runbooks current, and set documentation standards for the team.

Qualifications & Requirements

Required:

Bachelor's degree in computer science, IT, or a related field, or equivalent practical experience
8+ years of software engineering experience, including at least 1 years building production conversational AI or LLM-based applications
Advanced proficiency in Python, with working proficiency in .NET and JavaScript or TypeScript
Strong experience with REST APIs, JSON, webhooks, MCP, and calling APIs from browser applications
Hands-on experience with Dialogflow CX or GECX, or comparable conversational AI platforms
Hands-on experience with Contact Center AI (CCAI) solutions or experience with IVR platforms such as Genesys or Amazon Connect
Strong SQL skills.
Experience designing and maintaining automated test suites using frameworks such as PyTest, Jest, or xUnit
Experience with Git, CI/CD pipelines, and code review practices
Experience with containers and infrastructure as code (Docker, Kubernetes, or Terraform)
Excellent written and verbal communication, including the ability to explain technical trade-offs to non-technical stakeholders.

Preferred:

Experience building agents with Google's Agent Development Kit (ADK) or similar agent frameworks
Experience designing prompt strategies, evaluation methods, or intent classification for LLM-based systems
Experience leading front-end testing with Playwright, Cypress, or Selenium
Experience with Azure DevOps pipelines or another enterprise CI/CD tool
Experience with ServiceNow (REST APIs, Flow Designer) or .NET (C#)
Working knowledge of OAuth2, API keys, secrets management, and browser security
Experience with SAFe or other scaled Agile frameworks
Experience with containers (Docker, Kubernetes)
Experience with serverless platforms (Cloud Run, Azure Functions)
Interest in or experience with SRE, observability, and AIOps

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: 91022079
Position Id: 2026-52734
Posted 4 hours ago

Fitment

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Similar Jobs

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Today

job summary: Senior AI Developer We're looking for a Senior AI Agent Developer to lead the design, build, and support of enterprise conversational AI agents and the web experiences around them. You'll own key parts of the architecture on Google Cloud Platform (GECX / Dialogflow CX), connect agents to Azure, Google Cloud and ServiceNow, and set the standards for how agents, fulfillment services, and front-end interfaces are built, tested, and released. You'll also mentor engineers and work close

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Job Summary AI Agent Developer - Develop and test AI conversational agents using Google Cloud Platform (Dialogflow CX/GECX) and Googles Agent Development Kit (ADK). - Integrate agents with backend systems by creating and maintaining REST APIs, webhooks, and services in Python (.NET or Node.js), especially to connect with ServiceNow and Azure. - Write SQL queries for agent lookups, reporting, and conversational analytics. - Build responsive front-end interfaces using HTML, CSS, JavaScript/

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Senior GTM Engineer

New York, New York

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We are hiring a highly technical, business-savvy Senior GTM Engineer to help build the next generation of Navan's GTM systems. This hands-on role connects AI, data, and revenue execution. You will turn prioritized business requirements into production-grade agents, automations, and workflows that are embedded in how our Sales, Marketing and Revenue Operations teams work. Reporting to the Director, GTM Engineering & Systems, you will own the applied engineering layer from prototype through field

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Frontend Engineer - React/AI

Jersey City, New Jersey

•

Today

Job#: 3057165 Job Description: Frontend Engineer - React/AI Location: Jersey City, New Jersey (On-site) Role Overview This employer is seeking an automation-first, security-conscious, and proactive engineer to join the development team. The successful candidate will investigate root causes, make failures diagnosable, and balance availability, latency, cost, and delivery speed. This position focuses on the planning, design, development, testing, execution, and communication of high-quality sof

Easy Apply

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$66 - $68 per hour

Job Details

Skills

Recruiting
FOCUS
Open Source
Customer Service
Telecommunications
Banking
Google Cloud Platform
Google Cloud
Orchestration
Prompt Engineering
Node.js
Reporting
Interfaces
HTML
Cascading Style Sheets
React.js
AngularJS
Dashboard
Analytics
YAML
Test Strategy
Regression Analysis
Root Cause Analysis
Mentorship
Sprint
Documentation
Computer Science
Software Engineering
Python
JavaScript
TypeScript
JSON
Microsoft Certified Professional
Customer Experience
Artificial Intelligence
Interactive Voice Response
Genesys
Amazon Web Services
SQL
Automated Testing
Git
Code Review
Terraform
Communication
Evaluation
GUI QA
Cypress
Selenium
DevOps
Continuous Integration
Continuous Delivery
ServiceNow
.NET
C#
OAuth
API
Management
Web Browsers
SAFE
Agile
Docker
Kubernetes
Cloud Computing
Microsoft Azure

Recruiting
FOCUS
Open Source
Customer Service
Telecommunications
Banking
Google Cloud Platform
Google Cloud
Orchestration
Prompt Engineering
Node.js
Reporting
Interfaces
HTML
Cascading Style Sheets
React.js
AngularJS
Dashboard
Analytics
YAML
Test Strategy
Regression Analysis
Root Cause Analysis
Mentorship
Sprint
Documentation
Computer Science
Software Engineering
Python
JavaScript
TypeScript
JSON
Microsoft Certified Professional
Customer Experience
Artificial Intelligence
Interactive Voice Response
Genesys
Amazon Web Services
SQL
Automated Testing
Git
Code Review
Terraform
Communication
Evaluation
GUI QA
Cypress
Selenium
DevOps
Continuous Integration
Continuous Delivery
ServiceNow
.NET
C#
OAuth
API
Management
Web Browsers
SAFE
Agile
Docker
Kubernetes
Cloud Computing
Microsoft Azure

Summary

MUST HAVE GECX experience.

Recruiting Strategy:

Target local NYC/Tri-State area candidates since this is a hybrid role requiring on-site presence.
Search for heavy backend Python engineers who also have experience with .NET and JavaScript/TypeScript to ensure they can manage API connections to Azure and ServiceNow.
Focus on candidates with enterprise-level Conversational AI experience, specifically looking for Google Cloud Platform (GECX / Dialogflow CX) rather than just open-source LLM experimentation.
Seek out candidates from large-scale customer service, telecom, or banking environments who have direct experience integrating with IVR platforms like Genesys or Amazon Connect.
Prioritize candidates who are self-sufficient in DevOps and infrastructure, explicitly looking for Terraform and Azure DevOps pipeline experience.
Look for senior-level engineers with proven mentorship and architecture experience, as they will be leading design decisions, sprint planning, and guiding junior developers.

Key Responsibilities & Outcomes

Lead the design of conversational flows, route groups, intents, and LLM-powered tools in GECX / Dialogflow CX, and set patterns for agents built with Google's Agent Development Kit (ADK).
Make architecture decisions for agent orchestration, tool design, and handoffs between agents, fulfillment services, and human agents.
Lead the design of Contact Center AI (CCAI) solutions, including integration with IVR platforms such as Genesys and Amazon Connect.
Define prompt engineering and intent classification standards and evaluate changes against measurable quality criteria.
Design and build REST APIs, webhooks, and services in Python (primary) with .NET or Node.js that connect agents to ServiceNow, Azure systems, and IVR platforms.
Establish API contracts, versioning, and error-handling standards, including MCP integration patterns.
Write and optimize SQL for agent lookups, reporting, and conversational analytics.
Lead the development of responsive, accessible interfaces using HTML, CSS, and TypeScript with React or Angular.
Set front-end patterns for API connection, loading states, error handling, and session management in the browser.
Own security practices for browser-facing code, including CORS, XSS prevention, and secure handling of tokens and secrets.
Build internal dashboards for agent analytics, test results, and admin tasks.
Own and improve Azure DevOps pipelines that validate and deploy agent configurations, fulfillment services, and front-end builds. Review and approve changes to YAML pipelines.
Define infrastructure as code standards with Terraform for the agent platform, fulfillment services, and supporting cloud resources, and review changes to Terraform modules.
Define the testing strategy across unit tests, webhook API tests, dialog flow regression tests, and front-end component tests. Drive coverage targets and quality gates.
Lead incident investigation and root-cause analysis for production issues and failed test runs. Document findings and drive follow-through.
Monitor agent performance and reliability and contribute to observability and AIOps practices.
Mentor junior and mid-level developers through code reviews, pairing, and technical guidance.
Participate in and help lead sprint planning, backlog refinement, and Program Increment (PI) planning within a SAFe environment.
Partner with product owners and stakeholders to translate business requirements into technical designs and realistic delivery plans.
Keep architecture diagrams, flow designs, API documentation, and runbooks current, and set documentation standards for the team.

Qualifications & Requirements

Required:

Bachelor's degree in computer science, IT, or a related field, or equivalent practical experience
8+ years of software engineering experience, including at least 1 years building production conversational AI or LLM-based applications
Advanced proficiency in Python, with working proficiency in .NET and JavaScript or TypeScript
Strong experience with REST APIs, JSON, webhooks, MCP, and calling APIs from browser applications
Hands-on experience with Dialogflow CX or GECX, or comparable conversational AI platforms
Hands-on experience with Contact Center AI (CCAI) solutions or experience with IVR platforms such as Genesys or Amazon Connect
Strong SQL skills.
Experience designing and maintaining automated test suites using frameworks such as PyTest, Jest, or xUnit
Experience with Git, CI/CD pipelines, and code review practices
Experience with containers and infrastructure as code (Docker, Kubernetes, or Terraform)
Excellent written and verbal communication, including the ability to explain technical trade-offs to non-technical stakeholders.

Preferred:

Experience building agents with Google's Agent Development Kit (ADK) or similar agent frameworks
Experience designing prompt strategies, evaluation methods, or intent classification for LLM-based systems
Experience leading front-end testing with Playwright, Cypress, or Selenium
Experience with Azure DevOps pipelines or another enterprise CI/CD tool
Experience with ServiceNow (REST APIs, Flow Designer) or .NET (C#)
Working knowledge of OAuth2, API keys, secrets management, and browser security
Experience with SAFe or other scaled Agile frameworks
Experience with containers (Docker, Kubernetes)
Experience with serverless platforms (Cloud Run, Azure Functions)
Interest in or experience with SRE, observability, and AIOps

Dice Id: 91022079
Position Id: 2026-52734
Posted 4 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

Sr. AI Developer - Hybrid NYC

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