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Chat Bot Jobs in New York (NOW HIRING)

Senior AI Engineer

New York, NY · On-site

$134K - $176K/yr

New York, NY Long Term Contract Gen-AI Certification is highly desired In this role, you will build core artificial intelligence capabilities, including virtual assistants in both voice and chat bot ...

... Chat, Voice Bot etc.) applications solutioning using Genesys Cloud CX Architect Bot Flows. - Delivery credentials for Self Service and Analytics solutions enabled with speech-based interfaces and ...

... Email, Chat, Voice Bot, etc.) applications using Genesys Cloud CX Architect Bot Flows. · Delivery credentials for Self-Service and Analytics solutions enabled with speech-based interfaces and ...

Kore.AI Developer

New York, NY · Remote

$53.75 - $69.25/hr

Implement IVR, voice, chat, and omnichannel bot experiences leveraging Kore.ai's multichannel capabilities. * Lead and represent Tech Team in Client calls and support solution and design discussion.

... chat platforms in production, including federation, regulated data workflows, bot frameworks, and API integrations. • Working knowledge of Microsoft Teams administration, including Teams policies ...

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Chat Bot information

See New York salary details

$11

$40

$80

How much do chat bot jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for chat bot in New York is $40.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.98 and $59.13 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a chat bot developer?

As a Chat Bot Developer, your daily responsibilities often include designing, building, and refining conversational flows, integrating bots with various platforms (like websites or messaging apps), and coordinating with product managers or user experience teams to align features with business goals. You may also spend time training the bot to better understand user intent, analyzing chat logs to identify areas for improvement, and fixing arising technical issues. Collaboration with data scientists, software engineers, and QA professionals is common to ensure smooth deployment and performance. Staying up-to-date on advances in NLP and AI technologies is also a key part of the role.

What are the key skills and qualifications needed to thrive in the chat bot position, and why are they important?

To thrive as a Chat Bot Developer, you need strong programming skills (typically in Python, JavaScript, or similar languages), experience with natural language processing (NLP), and an understanding of AI principles. Familiarity with chat platform APIs, machine learning frameworks, and cloud-based deployment tools is important, as are relevant technical certifications. Excellent problem-solving abilities, creativity, and effective communication skills help set you apart in designing user-centric conversational flows. These capabilities are necessary to build intuitive, robust chat bots that enhance customer engagement and meet organizational needs.

What is a chat bot?

A Chat Bot job typically involves developing, managing, or improving chatbot systems that automate conversations with users. Responsibilities may include designing conversation flows, integrating AI models, and optimizing responses for user engagement. Roles can vary from customer support to AI development, depending on the organization's needs.

What are the most commonly searched types of Chat Bot jobs in New York? The most popular types of Chat Bot jobs in New York are:
What are popular job titles related to Chat Bot jobs in New York? For Chat Bot jobs in New York, the most frequently searched job titles are:
Infographic showing various Chat Bot job openings in New York as of August 2026, with employment types broken down into 56% Full Time, 6% Part Time, 1% Temporary, and 37% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $83,282 per year, or $40 per hour.

Snowflake AI/ML Sr Solutions Architect

Nanda Technologies

New York, NY • On-site

$70 - $75/hr

Contractor

Re-posted 19 days ago


Job description

Job Code :- 6880-2-11/20
 
Hi Team,
Need your support for below role.
 
Snowflake AI/ML Sr Solutions Architect
New York, NY
 
 
 
JD:-
 
AI/ML ARCHITECT
  • Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload.
  • Provide customers with best practices and advise as it relates to Data Science workloads on Snowflake
  • Build and deploy ML pipelines using Snowflake features and/or Snowflake ecosystem partner tools based on customer requirements.
  • Work hands-on where needed using SQL, Python, to build POCs that demonstrate implementation techniques and best practices on Snowflake technology within the Data Science workload.
  • Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own
  • Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them
  • Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments
  • Provide guidance on how to resolve customer-specific technical challenges.
  • Support other members of the Professional Services team develop their expertise.
  • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
  • Replatform customer chat bot to Snowflake Cortex Analyst, add Cortex Search support for unstructured data types Discover and integrate existing Churn Prediction model into new chat bot
REQUIREMENTS
  • University degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience.
  • 12-14 years experience working with customers in a pre-sales or post-sales technical role.
  • Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
  • Thorough understanding of the complete Data Science life-cycle including feature engineering, model development, model deployment and model management.
  • Strong understanding of MLOps, coupled with technologies and methodologies for deploying and monitoring models.
  • Experience and understanding of at least one public cloud platform (AWS, Azure or GCP).
  • Experience with at least one Data Science tool such as AWS Sagemaker, AzureML, Dataiku, Datarobot, H2O, and Jupyter Notebooks.
  • Hands-on scripting experience with SQL and at least one of the following; Python, Java or Scala.
  • Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn or similar.
BONUS POINTS FOR HAVING :
  • Experience with GenerativeAI, LLMs and Vector Databases.
  • Experience with Databricks/Apache Spark.
  • Experience implementing data pipelines using ETL tools.
  • Experience working in a Data Science role.
  • Proven success at enterprise software.
  • Vertical expertise in a core vertical such as FSI, Retail, Manufacturing, etc.