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Manager Ibm Watson Jobs (NOW HIRING)

Purple Drive Technologies

AI Developer

Richardson, TX · On-site

Training data curation and management * Machine learning model optimization * Speech recognition and text-to-speech technologies PREFERRED QUALIFICATIONS * Experience with IBM Watson Orchestrate and ...

Fusemachines

Lead Data Scientist- IBM Watson

New York, NY · On-site

$100K - $150K/yr

Collaborate with cross-functional teams, including business stakeholders, product managers ... IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX * Agentic AI Tools: Experience with ...

Fusemachines

Lead Data Scientist- IBM Watson

New York, NY · On-site

$100K - $150K/yr

Collaborate with cross-functional teams, including business stakeholders, product managers ... IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX * Agentic AI Tools: Experience with ...

IBM

Service Support Representative - NW- Texas

Dallas, TX

$17 - $21.50/hr

... management, systems level problem determination, discontinuance, and relocation of this equipment ... These representatives use IBM tools, such as Cognitive Support Platform (Salesforce) and Watson ...

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All JobsManager Ibm Watson Jobs

Manager Ibm Watson information

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$24.5K

$59.5K

$116K

How much do manager ibm watson jobs pay per year?

As of Jun 12, 2026, the average yearly pay for manager ibm watson in the United States is $59,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $68,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Ibm Watson vs Data Scientist?

AspectManager Ibm WatsonData Scientist
Required CredentialsBachelor's or master's in computer science, AI, or related fields; certifications in IBM Watson or AI toolsDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentLeads AI projects, manages teams, collaborates with stakeholders in enterprise settingsAnalyzes data, develops models, and interprets results in research or corporate environments
Employer & Industry UsageUsed in tech, healthcare, finance for AI solutions; IBM Watson platform focusUsed across industries for data analysis, predictive modeling, and research

The Manager Ibm Watson oversees AI projects utilizing IBM Watson technologies, focusing on team management and project delivery. In contrast, a Data Scientist primarily analyzes data and develops models to extract insights. While both roles require technical expertise, the manager focuses on leadership and project coordination, whereas the data scientist emphasizes data analysis and model development.

More about Manager Ibm Watson jobs
What cities are hiring for Manager Ibm Watson jobs? Cities with the most Manager Ibm Watson job openings:
What are the most commonly searched types of Ibm Watson jobs? The most popular types of Ibm Watson jobs are:
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Manager Ibm Watson jobs near you
Infographic showing various Manager Ibm Watson job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $59,525 per year, or $28.6 per hour.

IBM Watson Developer

Interon IT Solutions

Hartford, CT • On-site

Contractor

Posted 13 days ago

Job description

Job Title: IBM Watson Developer

Location: Hartford, CT (Onsite )

Duration: Long-term

Contract Type-#W2

Interview: 2 rounds (face-to-face)

Position Summary

In this role, you will architect, implement, and optimize rich conversational flows using IBM’s Conversational AI stack, while integrating enterprise data sources to deliver context-aware, trustworthy responses. You’ll collaborate with product, UI/UX, and backend teams to define requirements, influence features, and ensure scalable, user-centric solutions.

 

Key Responsibilities

  • Ability to design and develop AI conversations with responses coming from outside APIs via cloud function or integration with other systems.
  • Applying clean coding skills and best practices.
  • Collaborating with user interface designers and backend application integration teams to understand the mechanisms through which the conversational AI solution will be used and what is needed to fulfil intents.
  • Collaborating with teams and other developers to design, develop, test, deploy and maintain a chatbot.
  • Troubleshoot bots, debug, and deploy chatbots on various channels (voice/chat).
  • Leveraging AI, NLP Technologies and cognitive machine learning to develop chatbot applications.
  • Integrate chatbot solutions with multiple platforms.
  • Enhancing user effectiveness of the conversational agents with the help of advanced technologies.
  • Continuously develop knowledge of emerging technologies and analytics techniques and support the pursuit of business development opportunities.
  • Tuning and enhancing Speech to Text models.

Required Qualifications

  • 8+ years software delivery experience
  • 3+ years of Chatbot development experience with IBM WatsonX Orchestrate, or any other similar chatbot conversational AI tool (i.e Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai)
  • 3+ years training and improving intent recognition by curating the appropriate training data sets
  • 3+ years applying Conversational AI best practices (e.g. NLP and training data best practices)
  • 1+ years of experience in CICD, Git, unit-testing and source code management
  • 1+ years of knowledge of cloud development and deployment principles
  • 1+ years of Backend (server-side) development experience in Java, Node.js, or Python
  • 1+ years of multi-language experience in JavaScript/Typescript
  • 1+ years of working in an Agile environment, with knowledge in DevOps approaches, end-to-end software development processes and business requirements

Preferred Qualifications:

  • Prior work with IBM Watson Speech-to-Text, Watson Discovery, or similar voice processing and information retrieval technologies.
  • Familiarity with SSML (Speech Synthesis Markup Language) tagging for TTS refinement
  • Experience integrating unstructured data sources (e.g., document searching using semantic embeddings) with conversational agents

 

Education:

  • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience required.