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Manager Conversational AI Design

Advantasure, Inc.

Detroit, Michigan • Today

Full-time

Manager - AI Transformation Engineer - Finance

Advantasure, Inc.

Detroit, Michigan • Today

Full-time

Conversational AI Designer

Allstate Insurance Company

Remote • Today

Full-time

USD 80,000.00 - 136,625.00 per year

Job Senior Conversational AI Architect at Remote

PropelSys Technologies LLC.

Remote or Texas • Today

Easy Apply

Third Party, Contract

Genesys Conversational AI Architect

Innovatix Technology Partners

Remote • 6d ago

Easy Apply

Contract

70 - 75

Conversational AI Architect

Reveille Technologies

Remote • Today

Easy Apply

Contract

Depends on Experience

Product Analyst, Conversational AI

Integrichain

Remote or Philadelphia, Pennsylvania • Today

Full-time

Sr. Data Scientist - Conversational AI - Fulltime

Acunor Infotech

Remote or New Jersey • Today

Easy Apply

Full-time

Compensation information provided in the description

Technical Manager - AI Software and Transformation

Bosch

Plymouth, Michigan • Today

Full-time

Commissioning Manager - Physical AI

Vention

Detroit, Michigan • Today

Full-time

AI Infrastructure DC Design Engineer II

Astreya Partners

Remote or Tennessee • Today

Full-time

USD 85,120.00 - 134,400.00 per year

AI Infrastructure DC Design Intern

Astreya Partners

Remote or California • Today

Full-time

USD 15.71 - 24.81 per hour

AI Infrastructure DC Design Engineer IV

Astreya Partners

Remote or Tennessee • Today

Full-time

USD 114,000.00 - 180,000.00 per year

AI Infrastructure DC Design Engineer III

Astreya Partners

Remote or Texas • Today

Full-time

USD 98,040.00 - 154,800.00 per year

AI Manager - Language Models (US Remote)

Motorola Solutions

Remote or Illinois • Today

Full-time

USD 240,000.00 per year

Senior Manager of UX Design

SupplyHouse.com

Remote • Today

Full-time

USD 156,088.00 - 234,132.00 per year

Engineering Manager, UX AI Enablement

Etsy, Inc

Remote or New York, New York • Today

Full-time

Lead Change Manager with AI

Spiceorb

Remote • Today

Easy Apply

Contract

Depends on Experience

Sr. Delivery Manager (AI/ML)

EPAM Systems

Remote or New York, New York • Today

Full-time

Sr. Delivery Manager (AI/ML)

EPAM Systems

Remote • Today

Full-time

Salesforce Manager, AI & Agentforce Delivery

NeuraFlash, Part of Accenture

Remote • Today

Full-time

Sr. Manager, AI/ML Engineering (Digital Experience)- Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 148,900.00 - 255,300.00 per year

Manager Data Engineering AI

Cotiviti

Remote • Today

Full-time

USD 145,000.00 - 175,000.00 per year

Senior Manager, Applied AI

Thermo Fisher Scientific

Remote or North Carolina • Today

Full-time

USD 130,000.00 - 180,000.00 per year

Senior Manager, AI Innovation and Strategy - Life Sciences - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Engineering Manager (AI-Native Platform) - Remote

First American Financial Corporation

Remote or Santa Ana, California • Today

Full-time

USD 148,600.00 - 198,200.00 per year

Senior Manager, Application Development (Java, APIs, Microservices, AWS, AI)

CVS Health

Remote or North Carolina • Today

Full-time

USD 106,605.00 - 260,590.00 per year

Sr Manager, AI/ML Engineering - Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 148,900.00 - 255,300.00 per year

OEM Edge AI / IoT Business Development Manager - East (Remote)

Lenovo

Remote or Morrisville, North Carolina • Today

Full-time

USD 102,525.00 - 157,205.00 per year

OEM Edge AI / IoT Business Development Manager - West (Remote)

Lenovo

Remote or Morrisville, North Carolina • Today

Full-time

USD 102,525.00 - 157,205.00 per year

Job Details

Skills

Testing
Brand
Authorization
Management
Multilingual
Experience Design
Test Cases
Version Control
Documentation
English
Journalism
Marketing
Human-computer Interaction
Science
Health Care Administration
Computer Science
Content Strategy
User Experience
Development Testing
Health Care
Health Insurance
Test Scenarios
Research
Analytics
Strategic Thinking
Large Language Models (LLMs)
Generative Artificial Intelligence (AI)
Evaluation
Leadership
Product Management
Regulatory Compliance
Privacy
Communication
Accessibility
Artificial Intelligence
Writing
Editing
Facilitation
Presentations
Clarity
SAP BASIS

Testing
Brand
Authorization
Management
Multilingual
Experience Design
Test Cases
Version Control
Documentation
English
Journalism
Marketing
Human-computer Interaction
Science
Health Care Administration
Computer Science
Content Strategy
User Experience
Development Testing
Health Care
Health Insurance
Test Scenarios
Research
Analytics
Strategic Thinking
Large Language Models (LLMs)
Generative Artificial Intelligence (AI)
Evaluation
Leadership
Product Management
Regulatory Compliance
Privacy
Communication
Accessibility
Artificial Intelligence
Writing
Editing
Facilitation
Presentations
Clarity
SAP BASIS

Summary

Job Description

This role is responsible for designing, optimizing, and governing the conversational content and prompt architecture that powers AI-enabled member self-service. The role translates complex healthcare, insurance, benefits, and operational terminology into clear member language and influences model behavior through grounded prompt design, conversational examples, testing, feedback, monitoring, and continuous refinement.
This role will also partner with Product Management, Product Owners, design, engineering, data and AI teams, member experience, operations, legal, compliance, privacy, clinical, and business subject-matter experts to ensure conversations are understandable, accurate, trusted, accessible, and aligned to product outcomes and organizational standards.

Lead conversational content and prompt strategy for AI-enabled member self-service. Define member-friendly wording, conversational tone, response length, response structure, progressive disclosure, follow-up patterns, and a consistent, trusted voice across supported self-service channels.
Establish plain-language and health-literacy standards, including target reading levels where appropriate, aligned to member needs, product objectives, brand expectations, accessibility, and trust.
Translate complex healthcare, insurance, benefits, clinical, policy, and operational terminology into clear language that reflects how members naturally ask questions.
Map conversational intent to the appropriate health plan concepts, processes, actions, escalation paths, and approved information sources, including evidence of coverage and other trusted enterprise content used to answer questions about coverage, cost sharing, enrollment, claims, networks, prior authorization, and related topics.
Design, test, and refine grounded system prompts, prompt templates, conversational examples, response instructions, clarification prompts, and guardrails that influence model behavior.
Determine what information should be presented immediately, progressively disclosed, offered through follow-up prompts, or escalated to another channel.
Establish response boundaries and human handoffs to reduce, detect, and appropriately manage unsupported or inaccurate responses and prevent the experience from providing medical advice, guaranteeing coverage, or communicating beyond approved benefit and policy information.
Lead evaluation of conversational quality using member research, analytics, test scenarios, model outputs, failure patterns, feedback, and operational insights.
Define quality measures and acceptance criteria for clarity, accuracy, relevance, tone, health literacy, completeness, grounding, safety, accessibility, consistency, appropriate escalation, and multilingual or language-access needs where applicable.
Partner with Product Management, Product Owners, experience design, engineering, data and AI teams, operations, and subject-matter experts to translate conversational requirements into implementation-ready content, prompt assets, test cases, model-evaluation criteria, and backlog priorities.
Establish and maintain conversational content and prompt governance, including version control, documentation, reusable patterns, review standards, approved terminology, grounding requirements, risk controls, monitoring, and change processes.
Partner with legal, compliance, privacy, security, clinical, accessibility, language-access, and governance teams to ensure sensitive or regulated content meets applicable organizational and regulatory requirements.

QUALIFICATIONS

Bachelor's degree in Communications, Content Strategy, English, Journalism, Marketing, Human-Computer Interaction, User Experience, Information Science, Business, Health Administration, Computer Science, or a related field required. Master's degree or equivalent advanced education preferred.
Minimum seven (7) years of progressively responsible experience in conversational design, content strategy, user experience writing, digital content, prompt design, applied AI, or a related role required.
Minimum of one (1) year hands-on experience working with large language models, including prompt development, testing, evaluation, and refinement is required.
Experience in healthcare communications, health insurance, benefits, clinical content, health plan operations, or another regulated consumer environment preferred.
Experience designing and evaluating structured prompts, templates, conversational examples, model instructions, test scenarios, quality criteria, grounding requirements, and guardrails; ability to analyze outputs and refine patterns based on evidence preferred.
Experience using research, analytics, experimentation, quality reviews, and user feedback to improve conversational content and model behavior preferred.
Equivalent or relevant BCBSM experience may be considered to satisfy the requirements outlined above.
Demonstrated expertise in digital content, AI-enabled solutions, strategic thinking, and business impact may be considered in lieu of certain experience requirements.
Demonstrated experience creating consumer-facing conversational content for complex digital products, self-service experiences, chatbots, virtual assistants, or AI-enabled solutions.
Ability to translate complex domain, policy, operational, or technical concepts into clear, accurate language that reflects how consumers naturally communicate and meets approved plain-language, accessibility, inclusive-language, and digital voice standards.
Strong knowledge of conversational design, content hierarchy, progressive disclosure, intent recognition, clarification strategies, response architecture, tone, and consistent voice across supported digital self-service channels.
Working knowledge of large language models, generative AI, model limitations, grounding, retrieval-augmented generation, evaluation, monitoring, human oversight, and responsible AI practices.
Ability to identify unsupported responses, ambiguous member intent, high-risk topics, information dependencies, downstream impacts, and situations requiring clarification, escalation, disclaimers, or human intervention.
Strong stakeholder leadership and influence skills with the ability to align Product Management, Product Owners, design, engineering, data and AI teams, operations, legal, compliance, privacy, security, clinical, accessibility, language-access, and business experts.
Strong knowledge of privacy, consumer communication, accessibility, language-access, and regulatory considerations relevant to consumer-facing AI experiences.
Excellent writing, editing, facilitation, presentation, and storytelling skills, with exceptional attention to clarity, accuracy, consistency, tone, and detail.

All qualified applicants will receive consideration for employment without regard to, among other grounds, race, color, religion, sex, national origin, sexual orientation, age, gender identity, protected veteran status or status as an individual with a disability.

Candidates are hired on an "at will" basis. Nothing herein is intended to create a contract.

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: 80184147
Position Id: 4c6d7ae19428d246a728a4639dbad688
Posted 2 days ago

Fitment

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Job Details

Skills

Testing
Brand
Authorization
Management
Multilingual
Experience Design
Test Cases
Version Control
Documentation
English
Journalism
Marketing
Human-computer Interaction
Science
Health Care Administration
Computer Science
Content Strategy
User Experience
Development Testing
Health Care
Health Insurance
Test Scenarios
Research
Analytics
Strategic Thinking
Large Language Models (LLMs)
Generative Artificial Intelligence (AI)
Evaluation
Leadership
Product Management
Regulatory Compliance
Privacy
Communication
Accessibility
Artificial Intelligence
Writing
Editing
Facilitation
Presentations
Clarity
SAP BASIS

Testing
Brand
Authorization
Management
Multilingual
Experience Design
Test Cases
Version Control
Documentation
English
Journalism
Marketing
Human-computer Interaction
Science
Health Care Administration
Computer Science
Content Strategy
User Experience
Development Testing
Health Care
Health Insurance
Test Scenarios
Research
Analytics
Strategic Thinking
Large Language Models (LLMs)
Generative Artificial Intelligence (AI)
Evaluation
Leadership
Product Management
Regulatory Compliance
Privacy
Communication
Accessibility
Artificial Intelligence
Writing
Editing
Facilitation
Presentations
Clarity
SAP BASIS

Summary

Lead conversational content and prompt strategy for AI-enabled member self-service. Define member-friendly wording, conversational tone, response length, response structure, progressive disclosure, follow-up patterns, and a consistent, trusted voice across supported self-service channels.
Establish plain-language and health-literacy standards, including target reading levels where appropriate, aligned to member needs, product objectives, brand expectations, accessibility, and trust.
Translate complex healthcare, insurance, benefits, clinical, policy, and operational terminology into clear language that reflects how members naturally ask questions.
Map conversational intent to the appropriate health plan concepts, processes, actions, escalation paths, and approved information sources, including evidence of coverage and other trusted enterprise content used to answer questions about coverage, cost sharing, enrollment, claims, networks, prior authorization, and related topics.
Design, test, and refine grounded system prompts, prompt templates, conversational examples, response instructions, clarification prompts, and guardrails that influence model behavior.
Determine what information should be presented immediately, progressively disclosed, offered through follow-up prompts, or escalated to another channel.
Establish response boundaries and human handoffs to reduce, detect, and appropriately manage unsupported or inaccurate responses and prevent the experience from providing medical advice, guaranteeing coverage, or communicating beyond approved benefit and policy information.
Lead evaluation of conversational quality using member research, analytics, test scenarios, model outputs, failure patterns, feedback, and operational insights.
Define quality measures and acceptance criteria for clarity, accuracy, relevance, tone, health literacy, completeness, grounding, safety, accessibility, consistency, appropriate escalation, and multilingual or language-access needs where applicable.
Partner with Product Management, Product Owners, experience design, engineering, data and AI teams, operations, and subject-matter experts to translate conversational requirements into implementation-ready content, prompt assets, test cases, model-evaluation criteria, and backlog priorities.
Establish and maintain conversational content and prompt governance, including version control, documentation, reusable patterns, review standards, approved terminology, grounding requirements, risk controls, monitoring, and change processes.
Partner with legal, compliance, privacy, security, clinical, accessibility, language-access, and governance teams to ensure sensitive or regulated content meets applicable organizational and regulatory requirements.

QUALIFICATIONS

Bachelor's degree in Communications, Content Strategy, English, Journalism, Marketing, Human-Computer Interaction, User Experience, Information Science, Business, Health Administration, Computer Science, or a related field required. Master's degree or equivalent advanced education preferred.
Minimum seven (7) years of progressively responsible experience in conversational design, content strategy, user experience writing, digital content, prompt design, applied AI, or a related role required.
Minimum of one (1) year hands-on experience working with large language models, including prompt development, testing, evaluation, and refinement is required.
Experience in healthcare communications, health insurance, benefits, clinical content, health plan operations, or another regulated consumer environment preferred.
Experience designing and evaluating structured prompts, templates, conversational examples, model instructions, test scenarios, quality criteria, grounding requirements, and guardrails; ability to analyze outputs and refine patterns based on evidence preferred.
Experience using research, analytics, experimentation, quality reviews, and user feedback to improve conversational content and model behavior preferred.
Equivalent or relevant BCBSM experience may be considered to satisfy the requirements outlined above.
Demonstrated expertise in digital content, AI-enabled solutions, strategic thinking, and business impact may be considered in lieu of certain experience requirements.
Demonstrated experience creating consumer-facing conversational content for complex digital products, self-service experiences, chatbots, virtual assistants, or AI-enabled solutions.
Ability to translate complex domain, policy, operational, or technical concepts into clear, accurate language that reflects how consumers naturally communicate and meets approved plain-language, accessibility, inclusive-language, and digital voice standards.
Strong knowledge of conversational design, content hierarchy, progressive disclosure, intent recognition, clarification strategies, response architecture, tone, and consistent voice across supported digital self-service channels.
Working knowledge of large language models, generative AI, model limitations, grounding, retrieval-augmented generation, evaluation, monitoring, human oversight, and responsible AI practices.
Ability to identify unsupported responses, ambiguous member intent, high-risk topics, information dependencies, downstream impacts, and situations requiring clarification, escalation, disclaimers, or human intervention.
Strong stakeholder leadership and influence skills with the ability to align Product Management, Product Owners, design, engineering, data and AI teams, operations, legal, compliance, privacy, security, clinical, accessibility, language-access, and business experts.
Strong knowledge of privacy, consumer communication, accessibility, language-access, and regulatory considerations relevant to consumer-facing AI experiences.
Excellent writing, editing, facilitation, presentation, and storytelling skills, with exceptional attention to clarity, accuracy, consistency, tone, and detail.

Dice Id: 80184147
Position Id: 4c6d7ae19428d246a728a4639dbad688
Posted 2 days 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

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