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Senior Ai Conversation Designer Jobs (NOW HIRING)

Senior AI Engineer

$107K - $146K/yr

... conversational AI, or NPC behavior systems • Background in gaming, entertainment, or media technology • Experience with multi-modal AI (voice, image, video generation or processing) • ...

Sr. AI Product Designer r.Potential | 3 days/week on-site in San Francisco About r.Potential r.Potential is a San Francisco-based enterprise platform backed by The Adecco Group and Salesforce. The ...

Salary: $175k - $250k Sr. AI Product Designer r.Potential | 3 days/week on-site in San Francisco About r.Potential r.Potential is a San Franciscobased enterprise platform backed by The Adecco Group ...

Senior AI/ML Engineer

Draper, UT · On-site

$100 - $130/hr

Build Cutting-Edge Conversational AI at BambooHR (US) Do you dream of using AI to build the future ... You'll be a Senior AI/ML Engineer, designing and building AI-powered features like chatbots and ...

Senior AI Engineer

Costa Mesa, CA · On-site

$112K - $154K/yr

... conversational interfaces, and data-grounded reasoning across CW's enterprise platforms. - Shape ... designing and shipping production LLM/AI systems: agentic frameworks, RAG pipelines, text-to-SQL ...

About the Role The Senior AI Implementation Manager leads complex, high-impact client implementations of Posh's conversational AI platform for financial institutions. This role blends strategic ...

Senior AI Engineer

Costa Mesa, CA

$112K - $154K/yr

... conversational interfaces, and data-grounded reasoning across CW's enterprise platforms. - Shape ... designing and shipping production LLM/AI systems: agentic frameworks, RAG pipelines, text-to-SQL ...

Senior AI Engineer

California, MO · On-site

$124.78 - $146.80/hr

Establish standards for agentic workflows, intelligent search, conversational interfaces, and data ... Demonstrated experience designing and shipping production LLM/AI systems: agentic frameworks, RAG ...

Senior AI Engineer

Costa Mesa, CA

$112K - $154K/yr

... conversational interfaces, and data-grounded reasoning across CW's enterprise platforms. - Shape ... designing and shipping production LLM/AI systems: agentic frameworks, RAG pipelines, text-to-SQL ...

Showing results 41-60

Senior Ai Conversation Designer information

See salary details

$59K

$105.9K

$131K

How much do senior ai conversation designer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for senior ai conversation designer in the United States is $105,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $109,000.00 per year, depending on experience, location, and employer.

How does a senior AI conversation designer typically collaborate with product and engineering teams during the development process?

As a Senior AI Conversation Designer, you will work closely with product managers to define user requirements and ensure conversation flows align with business goals. Collaboration with engineers is crucial for integrating conversational scripts and refining natural language understanding models based on user feedback. Regular cross-functional meetings and iterative prototyping are common practices, allowing you to adapt designs in response to technical constraints and usability testing. This collaborative environment fosters innovation and ensures the delivery of user-friendly conversational experiences.

What does a senior AI conversation designer do?

A Senior AI Conversation Designer is responsible for creating natural and engaging dialogues for AI-powered systems, such as chatbots and virtual assistants. They design conversational flows, write dialogue scripts, and ensure the AI interacts effectively with users. This role often involves collaborating with product managers, engineers, and linguists to optimize user experience. Senior designers also analyze user data to refine conversations and may mentor junior designers. Their goal is to make AI interactions feel intuitive and human-like.

What are the key skills and qualifications needed to thrive as a senior AI conversation designer, and why are they important?

To thrive as a Senior AI Conversation Designer, you need expertise in linguistics, UX writing, and conversational interface design, often backed by experience with AI platforms and a relevant degree. Familiarity with tools like Dialogflow, Rasa, Voiceflow, and analytics platforms, as well as knowledge of scripting languages, is typically expected. Strong collaboration, creative problem-solving, and user empathy help deliver engaging and effective conversational experiences. These skills ensure the creation of intuitive, user-centric AI interactions that drive customer satisfaction and business outcomes.
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Infographic showing various Senior Ai Conversation Designer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $105,882 per year, or $50.9 per hour.

Senior AI Full Stack Engineer

Onebridge

Indianapolis, IN • On-site

Full-time

Posted 15 days ago


Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Senior AI Full Stack Engineer to join our innovative and dynamic team.
Senior AI Full Stack Engineer | About You
As a Senior AI Full Stack Engineer, you are responsible for building modern, data-driven web applications that enable scientists and researchers to interact with complex datasets intuitively and efficiently. You enjoy working across the entire stack, from designing backend services and APIs to crafting responsive, elegant frontends. You thrive in environments where you collaborate closely with UX designers, scientists, and engineering partners to turn ideas into high-impact tools. You value clean architecture, reusable components, automated testing, and strong engineering best practices. You are energized by creating user experiences that simplify scientific workflows and make large-scale data accessible and actionable.
Senior AI Full Stack Engineer | Day-to-Day
  • Design, develop, and support scalable full-stack applications and AI-powered solutions using Python and modern development technologies.
  • Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI, and Anthropic, including prompt engineering and context management.
  • Develop agentic workflows, tool integrations, and function-calling capabilities to automate complex business processes and enhance user experiences.
  • Integrate enterprise applications with platforms such as Microsoft 365, SharePoint, Microsoft Graph, ServiceNow, Jira, and Confluence through secure APIs.
  • Implement secure authentication, authorization, and secrets management practices while ensuring compliance with enterprise security standards.
  • Collaborate with cross-functional teams to deliver, deploy, and continuously improve applications through CI/CD pipelines, containerization, and modern DevOps practices.

Senior AI Full Stack Engineer | Skills & Experience
  • 7+ years of experience in full-stack application development within enterprise or technology-driven environments, with strong proficiency in Python.
  • Hands-on experience building AI and Generative AI solutions, including LLM API integrations, prompt engineering, token management, and conversational AI applications.
  • Strong experience with enterprise integrations, including Microsoft 365, Microsoft Graph, SharePoint, ServiceNow, Jira, Confluence, and REST APIs.
  • Expertise in secure application development, including SSO integrations (SAML, OAuth2, OIDC), API gateways, middleware, and secrets management best practices.
  • Experience with modern DevOps and cloud-native development, including containerization, CI/CD pipelines, deployment automation, and application lifecycle management.