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Conversational Ai Developer Jobs in Boston, MA (NOW HIRING)

State Street Corporation

AI Developer, AVP

Burlington, MA · On-site

$54.75 - $75.25/hr

AI Developer - AVP Who we are looking for The AI Engineer will play a key role in advancing AI ... Experience building AI copilots, conversational interfaces, or agent-based systems * Hands-on ...

Lumeris Inc.

GCP AI Engineer - Cambridge, MA

Cambridge, MA · On-site

$143.19 - $194.47/hr

Design and deploy RAG-based and conversational AI systems that are accurate, grounded, and ... DevOps, Cloud Architect).**Work Environment*** Based in Cambridge, MA* Hybrid schedule with 3 days ...

KPMG US

Senior Associate, AI Engineer

Boston, MA · On-site

$60 - $77.50/hr

... test AI models, conversational agents, and workflow automation components under the guidance of ... engineering, or cloud technologies • Bachelor's degree from an accredited college or university ...

State Street

Sr. AI Developer, VP

Burlington, MA · On-site

$59.25 - $78.25/hr

... an AI Developer to advance AI-enabled capabilities across their investment management solutions ... AI copilots, conversational interfaces, or agent-based systems • Hands-on experience with RAG ...

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All JobsConversational Ai Developer JobsConversational Ai Developer Jobs in Boston, MA

Conversational Ai Developer information

See Boston, MA salary details

$17

$65

$82

How much do conversational ai developer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for conversational ai developer in Boston, MA is $65.21, according to ZipRecruiter salary data. Most workers in this role earn between $59.28 and $77.31 per hour, depending on experience, location, and employer.

What is a conversational AI developer?

A Conversational AI Developer is a professional who designs, builds, and maintains artificial intelligence systems that enable computers to interact with humans using natural language. These developers create chatbots, virtual assistants, and voice-enabled applications that can understand and respond to user input in a conversational manner. Their work often involves programming, natural language processing (NLP), machine learning, and integrating AI systems with various platforms or devices. They play a key role in improving user experiences through more intuitive, human-like interactions with technology.

What are the key skills and qualifications needed to thrive as a conversational AI developer?

To thrive as a Conversational AI Developer, you need a solid background in computer science, natural language processing (NLP), and machine learning, often supported by a relevant degree or certifications. Familiarity with tools like Python, TensorFlow, NLP libraries (such as spaCy or NLTK), and conversational platforms (like Dialogflow or Microsoft Bot Framework) is typically required. Strong problem-solving abilities, creativity, and effective communication skills help developers design intuitive and engaging conversational experiences. These skills are crucial for building AI systems that understand and respond accurately to human language, ensuring user satisfaction and business value.

What are some common challenges conversational AI developers face when optimizing chatbot performance?

Conversational AI Developers often encounter challenges such as accurately interpreting user intent, handling ambiguous or unexpected queries, and maintaining natural, engaging dialogue flows. Balancing the need for robust natural language understanding with system efficiency and scalability is also key. Additionally, integrating the chatbot with existing platforms and ensuring data privacy can require careful planning and cross-functional collaboration.

What is the difference between Conversational Ai Developer vs Chatbot Developer?

AspectConversational Ai DeveloperChatbot Developer
Required CredentialsProgramming skills, AI/machine learning knowledge, NLP expertiseProgramming skills, basic AI understanding, scripting
Work EnvironmentTech companies, AI startups, enterprise AI teamsCustomer service, marketing, small to medium businesses
Industry UsageDevelops complex conversational systems with AI capabilitiesBuilds rule-based or simple chatbots for specific tasks
Search & Comparison IntentUnderstanding AI-driven conversational systemsCreating basic automated chat interactions

Conversational Ai Developers focus on building advanced, AI-powered conversational systems using NLP and machine learning, often working in tech or enterprise environments. Chatbot Developers typically create rule-based or simple chatbots for customer service or marketing, with less emphasis on AI complexity. While both roles involve programming and scripting, Conversational Ai Developers require deeper AI and NLP expertise for sophisticated interactions.

What are popular job titles related to Conversational Ai Developer jobs in Boston, MA?

For Conversational Ai Developer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Conversational Ai Developer jobs in Boston, MA look for?

The top searched job categories for Conversational Ai Developer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Conversational Ai Developer jobs?

Cities near Boston, MA with the most Conversational Ai Developer job openings:

Conversational Ai Developer jobs near you
Infographic showing various Conversational Ai Developer job openings in Boston, MA as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $135,630 per year, or $65.2 per hour.

Senior Conversation Designer / Conversational AI UX Designer

Galaxy i Technologies, Inc.

Boston, MA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

 

Senior Conversation Designer / Conversational AI UX Designer

Contract

Boston, MA
 

Job Description:

Role: 

Role Summary We are seeking a creative and customer-focused Conversation Designer to design intuitive| engaging| and user-friendly conversational experiences for AI-powered virtual assistants| chatbots| voice bots| and digital banking assistants.

The ideal candidate will combine conversational UX| customer journey design| and Generative AI expertise to deliver seamless customer interactions across Banks digital and contact center channels.

Key Responsibilities Design end-to-end conversational experiences for chatbots| virtual assistants| IVR| and AI copilots.

Create conversation flows| dialogue trees| user intents| and customer journeys.

Develop prompts and interaction strategies for Generative AI and LLM-based applications.

Ensure conversations are natural| context-aware| compliant| and aligned with business objectives.

Collaborate with business| UX| product| contact center| and engineering teams to define conversational experiences.

Analyze chatbot and voice bot performance| customer feedback| and usage analytics to continuously improve user experience.

Required Skills

Conversation Design and UX Writing.

Prompt Engineering and Generative AI concepts.

Chatbot| Virtual Assistant| and Voice Bot Design.

Customer Journey Mapping and Human-Centered Design.

Conversational AI and LLM fundamentals.

Strong communication| stakeholder management| and analytical skills.

Preferred Qualifications

Experience with Microsoft Copilot Studio| AWS Lex| Amazon Connect| Dialogflow| OpenAI/Azure OpenAI| or AWS Bedrock.

Experience designing digital banking| customer service| or contact center conversational experiences.

Knowledge of BFSI customer journeys| self-service channels| and customer engagement best practices.Experience5+ years of experience in Conversation Design| UX Writing| Customer Experience| or Conversational AI.

Experience delivering chatbot| virtual assistant| voice bot| or AI assistant solutions in enterprise environments.

Key Competencies

Conversational UX Design Prompt Engineering Customer Journey Mapping Generative AI & LLM Applications Stakeholder Collaboration Data-Driven Experience Optimization


Essential Skills: Role Summary We are seeking a creative and customer-focused Conversation Designer to design intuitive| engaging| and user-friendly conversational experiences for AI-powered virtual assistants| chatbots| voice bots| and digital banking assistants.

The ideal candidate will combine conversational UX| customer journey design| and Generative AI expertise to deliver seamless customer interactions across Banks digital and contact center channels.

Key Responsibilities

Design end-to-end conversational experiences for chatbots| virtual assistants| IVR| and AI copilots.

Create conversation flows| dialogue trees| user intents| and customer journeys.

Develop prompts and interaction strategies for Generative AI and LLM-based applications.Ensure conversations are natural| context-aware| compliant| and aligned with business objectives.Collaborate with business| UX| product| contact center| and engineering teams to define conversational experiences.Analyze chatbot and voice bot performance| customer feedback| and usage analytics to continuously improve user experience.Required Skills Conversation Design and UX Writing.Prompt Engineering and Generative AI concepts.

Chatbot| Virtual Assistant| and Voice Bot Design.Customer Journey Mapping and Human-Centered Design.

Conversational AI and LLM fundamentals.Strong communication| stakeholder management| and analytical skills.Preferred Qualifications Experience with Microsoft Copilot Studio| AWS Lex| Amazon Connect| Dialogflow| OpenAI/Azure OpenAI| or AWS Bedrock.

Experience designing digital banking| customer service| or contact center conversational experiences.

Knowledge of BFSI customer journeys| self-service channels| and customer engagement best practices.Experience5+ years of experience in Conversation Design| UX Writing| Customer Experience| or Conversation
Conversation Designer (10913889) – Required Skills
1. Conversation Design and UX Writing.
2. Prompt Engineering and Generative AI concepts.
3. Chatbot, Virtual Assistant, and Voice Bot Design.
4. Customer Journey Mapping and Human-Centered Design.
5. Conversational AI and LLM fundamentals.
6. Strong communication, stakeholder management, and analytical skills.
7. Preferred Qualifications
8. Experience with Microsoft Copilot Studio, AWS Lex, Amazon Connect, Dialogflow, OpenAI/Azure OpenAI, or AWS Bedrock.
9. Experience designing digital banking, customer service, or contact center conversational experiences.
10. Knowledge of BFSI customer journeys, self-service channels, and customer engagement best practices.
Key Word Search : Copilot Studio, AWS Lex, Amazon Connect, Dialogflow, OpenAI/Azure OpenAI, or AWS Bedrock.
 

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