Conversational AI Engineer Jobs
Conversational AI Engineer jobs are open across tech, healthcare, financial services, and enterprise software, from new-grad to principal and staff level, with specializations in dialogue systems, large language model fine-tuning, and voice interface development. Find a role that fits from the openings below and apply directly.
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Showing 5 of 33+ Conversational AI Engineer jobs
Imagine what you could do here! The people here at Apple don’t just create products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.
Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.
The Strategy Lead will play a key role in driving Apple Store Online’s most innovative expansion opportunities for new AI-powered shopping experiences. This team member will oversee ongoing performance and behavioral analysis for new generative, on-device experiences and their growth, uncovering commercial and customer insights and leading operational and executive storytelling. You will represent customer and business points of view in diverse-cross functional forums as you prioritize and drive tangible experience optimizations.
Description
As we bring new conversational on-device experiences to life, you will oversee experience and operational analysis for the business. From coordinating and helping plan for qualitative research and usability studies, to assessing detailed quantitative metrics and results, you will play an integral role in helping optimize the end to end customer experience and steering us to achieve our agentic goals.","responsibilities":"Drive regular operational and leadership business reporting, identifying data-driven insights and synthesizing conclusions into actionable recommendations, to influence digital commerce strategies and initiatives.
Manage and prioritize a business backlog to guide strategic focus areas and develop quantitative business cases to inform capital planning investments
Help create and present strategic briefs and presentations to inform cross functional partners of business priorities, opportunities, and performance.
Conduct research on market & competitor trends and analyze consumer behavior and internal performance to drive innovation ideation, optimization, and expansion.
Serve as a liaison in cross-functional forums, including feature reviews, and help coordinate program management activities and organizational coordination
Preferred Qualifications
Previous experience working on at least one significant customer-facing generative AI-powered experience or tool
Experience in, deep knowledge of, and passion for technology trends such as AI, as well as the global retail and/or e-commerce B2C industry.
Hands-on experience using dashboards and spreadsheets to evaluate data.
Program manager skills, including prior history of overseeing, organizing, and driving a complex and cross-functional initiative with multiple work streams.
Experience building collaborative bridges and fostering relationships with global teams, in addition to flexibly adapting to feedback.
Exceptional verbal and written communication, storytelling, and presentation skills, including proficiency in Keynote, PowerPoint, or equivalent, and presenting to various levels of leadership.
Proven history of proactively problem solving amidst ambiguity with a bias for action, while being resourceful and maintaining close attention to details.
Strongly values inclusion and diversity by respecting differences and having a curiosity to learn.
Minimum Qualifications
4 or more years of work experience in a business analytics or insights focused position, with at least 1 year in an e-commerce, retail, or customer experience organization or role.
Demonstrated analysis and reporting experience, including, but not limited to uncovering insights to support data-driven business recommendations.
Imagine what you could do here! The people here at Apple don’t just create products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.
Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.
The Strategy Lead will play a key role in driving Apple Store Online’s most innovative expansion opportunities for new AI-powered shopping experiences. This team member will oversee ongoing performance and behavioral analysis for new generative, on-device experiences and their growth, uncovering commercial and customer insights and leading operational and executive storytelling. You will represent customer and business points of view in diverse-cross functional forums as you prioritize and drive tangible experience optimizations.
Description
As we bring new conversational on-device experiences to life, you will oversee experience and operational analysis for the business. From coordinating and helping plan for qualitative research and usability studies, to assessing detailed quantitative metrics and results, you will play an integral role in helping optimize the end to end customer experience and steering us to achieve our agentic goals.","responsibilities":"Drive regular operational and leadership business reporting, identifying data-driven insights and synthesizing conclusions into actionable recommendations, to influence digital commerce strategies and initiatives.
Manage and prioritize a business backlog to guide strategic focus areas and develop quantitative business cases to inform capital planning investments
Help create and present strategic briefs and presentations to inform cross functional partners of business priorities, opportunities, and performance.
Conduct research on market & competitor trends and analyze consumer behavior and internal performance to drive innovation ideation, optimization, and expansion.
Serve as a liaison in cross-functional forums, including feature reviews, and help coordinate program management activities and organizational coordination
Preferred Qualifications
Previous experience working on at least one significant customer-facing generative AI-powered experience or tool
Experience in, deep knowledge of, and passion for technology trends such as AI, as well as the global retail and/or e-commerce B2C industry.
Hands-on experience using dashboards and spreadsheets to evaluate data.
Program manager skills, including prior history of overseeing, organizing, and driving a complex and cross-functional initiative with multiple work streams.
Experience building collaborative bridges and fostering relationships with global teams, in addition to flexibly adapting to feedback.
Exceptional verbal and written communication, storytelling, and presentation skills, including proficiency in Keynote, PowerPoint, or equivalent, and presenting to various levels of leadership.
Proven history of proactively problem solving amidst ambiguity with a bias for action, while being resourceful and maintaining close attention to details.
Strongly values inclusion and diversity by respecting differences and having a curiosity to learn.
Minimum Qualifications
4 or more years of work experience in a business analytics or insights focused position, with at least 1 year in an e-commerce, retail, or customer experience organization or role.
Demonstrated analysis and reporting experience, including, but not limited to uncovering insights to support data-driven business recommendations.
Conversational AI Engineer Jobs by Experience Level
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Who's Hiring
Top Industries Hiring
- Technology & Software
- Insurance
- Media & Entertainment
What Employers Look For
The qualifications that appear most often in conversational AI engineer jobs.
- Experience designing and deploying NLU or LLM-based conversational systems in production
- Proficiency in Python and familiarity with at least one major dialogue framework such as Rasa, Dialogflow, or Lex
- Knowledge of prompt engineering, retrieval-augmented generation, or fine-tuning techniques for large language models
- Ability to evaluate conversational quality using metrics like intent accuracy, slot-filling precision, and task completion rate
- Experience integrating conversational agents with APIs, CRMs, or contact-center platforms
- Bachelor's or master's degree in computer science, computational linguistics, or a related field
Tips for Your Conversational AI Engineer Job Search
Tailor your resume for each stack
Hiring managers scan for specific frameworks fast. Call out whether your experience is in Rasa, Dialogflow, Amazon Lex, or custom LLM pipelines by name, and match the tools listed in each job posting rather than listing every technology you've touched.
Showcase deployed conversational systems
A GitHub repo of notebooks rarely lands interviews on its own. Link to or describe production chatbots, voice assistants, or agent pipelines you shipped, including the channel they ran on, the scale, and the measurable outcome your work drove.
Apply early to roles that fit
Migrate Mate lists conversational ai engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by domain to sharpen targeting
Conversational AI skills transfer across industries, but interview questions differ sharply between healthcare compliance use cases and consumer-facing retail bots. Decide which domain you want to specialize in first, then search that vertical specifically rather than applying broadly.
Prepare to walk through an end-to-end NLU design
Most technical screens ask you to design an intent taxonomy, handle edge cases, and explain how you'd evaluate model quality. Practice talking through your intent-entity design decisions out loud, not just what you built but why you made those tradeoffs.
Negotiate on scope, not just compensation
Conversational AI roles vary widely in autonomy. Before accepting an offer, ask specifically whether you own the full dialogue design or implement designs handed to you, and whether the team has a roadmap for moving from rule-based to generative approaches.
Conversational AI Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most conversational ai engineers?
The companies hiring the most conversational ai engineers right now include GEICO, PwC, and Amazon, with the largest share of openings in California, Texas, and Washington, based on current listings on Migrate Mate as of September 2026. Demand is especially concentrated at enterprise software companies and healthcare technology firms building patient-facing or internal support automation.
How many conversational ai engineer jobs are remote?
About 74% of conversational ai engineer openings are fully remote or hybrid as of September 2026, reflecting the discipline's strong orientation toward software-first work. Roles focused on LLM integration and prompt engineering tend to be the most remote-friendly, while positions tied to voice hardware or contact-center platform deployments more often require on-site presence.
How do you become a conversational ai engineer?
Start by building a foundation in Python and natural language processing through coursework or self-study, then work with at least one dialogue framework such as Rasa or Dialogflow on a real project. Develop hands-on experience with large language model APIs, practice designing intent taxonomies, and document at least one deployed or end-to-end prototype you can speak to in interviews. A portfolio of shipped or demonstrable conversational systems carries more weight than credentials alone.
Can I get a conversational ai engineer job with little or no experience?
Yes, entry-level and associate conversational ai engineer roles exist, but they expect demonstrated technical work even without professional history. Build a chatbot or voice assistant using an open-source framework, publish it with clear documentation, and write up the design decisions you made. Roles at startups or in internal tooling teams are more likely to take on candidates who show strong fundamentals and a concrete project over those with only academic coursework.
What does the conversational ai engineer interview process look like?
The process typically runs three to four stages. A recruiter screen is followed by a technical phone interview covering NLU concepts, intent design, and Python fundamentals. The main round usually includes a take-home or live system design exercise where you build or critique a conversational flow, plus a behavioral panel. Final rounds often add a domain-specific discussion about evaluation methodology or how you'd handle failure modes in production.
Where can I find and apply to conversational ai engineer jobs?
You can find and apply to conversational ai engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience and specialization, then apply directly to each one that fits.
See All 33 Conversational AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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