AI Engineering Lead Jobs
AI Engineering Lead jobs are open across technology, fintech, healthcare, and enterprise software, from senior individual contributor to staff and principal levels, with specializations in LLM systems, MLOps infrastructure, and applied AI product development. See the openings below and apply to the ones that match your experience.
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Journey with us! Combine your career goals and sense of adventure by joining our exciting team of employees Royal Caribbean Group is pleased to offer a competitive compensation and benefits package and excellent career development opportunities each offering unique ways to explore the world
We are proud to be the vacation-industry leader with global brands — including Royal Caribbean International Celebrity Cruises and Silversea Cruises — the most innovative fleet and private destinations and the best people Together we are dedicated to turning the vacation of a lifetime into a lifetime of vacations for our guests
Applicants must be legally authorized to work in the location where this position is based The position is not eligible for immigration or work-visa sponsorship now or in the future
At Royal Caribbean Group (RCG) we care about your health financial security and overall well-being That’s why we provide a comprehensive and competitive benefits package designed to support what matters most to you across every area of life: physical intellectual emotional and social Here’s an overview of the benefits available to you including but not limited to:
Cruise and Travel Privileges
Health and Wellness Benefits
401(k) + Employer Contribution (US Only)
Company-Paid Life and Disability Insurance
Employee Stock Purchase Plan
Comprehensive Time Off Package
Parental Leave
Employee Assistance Program (EAP)
Training & Professional Development
Tuition & Professional Certification Reimbursement (US Only)
Position Summary:
Essential Duties and Responsibilities:
Define and own the operating model for use case intake proof of concept scaling and value tracking including decision criteria review cadence- and the handoffs between teams — and answer for how the pipeline performs Run the use case intake process: capture problems and ideas from across the organization record the expected value of each (hours saved errors avoided cycle time)
- and prioritize the pipeline on value and effort Perform structured opportunity scanning across each function — inventory tools systems
- and manual workflows; map friction points to the right stage of the transformation approach; score opportunities on value and effort; and maintain the resulting backlog on a regular review cadence Run or take part in proofs of concept alongside the Senior Director and teams across the organization define success criteria before each one starts and recommend whether to scale adjust
- or stop Develop and own the rollout approach for proven digital and AI solutions across functions hubs and regions deciding which teams go first in what order
- with what prerequisites and success criteria Deliver rollouts end to end from planning and configuration of existing tools through content and process changes testing launch
- and handover to steady-state ownership Where a proven solution needs a custom-built or hosted tool define the requirements and hand them to the teams that build and run tools
- while retaining ownership of the rollout Support the development of AI platforms and tools by identifying and helping clear roadblocks such as access data availability approvals competing priorities
- or missing input from the field and by connecting the teams that build them with the users and decisions they need Adapt solutions to new functional and regional contexts without losing what made them work
- and determine when adaptation has gone far enough that the underlying approach must be reconsidered Diagnose where a solution breaks at scale and decide whether to fix redesign
- or retire it Own the value of each use case: set the expected benefit at intake agree the baseline with the measurement function before a proof of concept begins
- and be accountable for the gap between expected and realized value Be responsible for adoption outcomes: define what adoption means for each solution use independent measurement to segment intervention by user population
- and act where uptake stalls Specify the training materials and support model each solution and audience requires and partner with the learning and development team
- which designs and delivers it Build and sustain the Digitization & AI Champions network across every function hub and region as the channel for peer-led rollout and field feedback so support does not bottleneck on a single point
- (Executing) Lead internal technical partners solution delivery partners and hub-based contacts to committed dates making the trade-off calls when scope quality
- and timing collide Ensure every deployment operates within the guardrails set by the Senior Director and meets company standards for data classification access control and responsible AI use — transparency privacy oversight and fairness — including grounding and citation of AI outputs to verified sources
- and partnering with Information Security and Data & AI Governance on required reviews Run listening and continuous improvement activity pulse surveys usage review
- and retrospectives and feed the results into the next round of targeted training and tooling decisions Close the feedback loop: bring what is learned while scaling what sticks what does not and which problems keep recurring into prioritization roadmap and standards discussions with the Senior Director
- and propose scaling opportunities independently This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position
- Employees will be required to perform any other job-related duties assigned by their supervisor or management
Qualifications Knowledge & Skills:
Four-year Bachelor's or equivalent required; Master’s degree in business Information Systems- or a related discipline 10+ years in program delivery digital transformation technology deployment
- or a closely related discipline Demonstrated experience scaling a solution from one team to many across a distributed
- multi-site organization this is the core skill of the role and should be evidenced explicitly Strong independent judgment; able to make sequencing design
- and trade-off decisions and stand behind them
- Track record leading cross-functional initiatives and influencing senior leaders and peers without direct authority Demonstrated ability to build and defend a business case set expected benefits up front and be held accountable for realizing them experience in benefits realization portfolio management
- or value management Proven change management capability in an environment where adoption not technology
- was the hard part
- Strong enablement and facilitation skills; credible in front of both digitally fluent users and experienced hands-on teams who have seen initiatives come and go Working understanding of data foundations — governed sources ownership
- unique identifiers — and why AI built on fragmented data fails
- Able to run multiple parallel workstreams across time zones without losing threads Excellent written and verbal communication
- effective from the yard floor to senior leadership
- Effective across cultures in an international organization Ability and willingness to travel approximately 20%
- including internationally
Preferred:
Experience in maritime- shipbuilding or another complex capital project environment
- Experience running a use case or demand intake process and taking proofs of concept through to scaled rollout Formal organizational change management grounding or certification (Prosci ADKAR Kotter or equivalent)
- applied in practice rather than held as a credential Familiarity with Workfront SharePoint or comparable enterprise project workflow
- and document platforms Experience with AI-assisted knowledge retrieval document synthesis
- or reporting automation in a production setting
Work Environment
Approximately 20% travel required including international travel to Newbuild hubs and shipyards Global team collaboration across time zones
Agency and Third-Party Submissions: Please note this is a direct search by the Company and applications through agencies and other third parties will not be accepted nor will fees be paid for unsolicited resumes Any unsolicited resumes will be considered the Company's property
We know there's a lot to consider As you go through the application process our recruiters will be glad to provide guidance and more relevant details to answer any additional questions Thank you again for your interest in Royal Caribbean Group We hope to see you onboard soon!
It is the policy of the Company to ensure equal employment and promotion opportunity to qualified candidates without discrimination or harassment on the basis of race color religion sex (including pregnancy and related medical conditions) age national origin disability sexual orientation sexuality gender identity or expression marital status citizenship or immigration status veteran or military status or any other characteristic protected by applicable law Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate discrimination or harassment
We are committed to providing reasonable accommodation to support candidates with disabilities during our hiring process If you need a reasonable accommodation please reach out to us at hraccess@rcclcom This email is for disability-related accommodation requests only
Nearest Major Market: Miami
Journey with us! Combine your career goals and sense of adventure by joining our exciting team of employees Royal Caribbean Group is pleased to offer a competitive compensation and benefits package and excellent career development opportunities each offering unique ways to explore the world
We are proud to be the vacation-industry leader with global brands — including Royal Caribbean International Celebrity Cruises and Silversea Cruises — the most innovative fleet and private destinations and the best people Together we are dedicated to turning the vacation of a lifetime into a lifetime of vacations for our guests
Applicants must be legally authorized to work in the location where this position is based The position is not eligible for immigration or work-visa sponsorship now or in the future
At Royal Caribbean Group (RCG) we care about your health financial security and overall well-being That’s why we provide a comprehensive and competitive benefits package designed to support what matters most to you across every area of life: physical intellectual emotional and social Here’s an overview of the benefits available to you including but not limited to:
Cruise and Travel Privileges
Health and Wellness Benefits
401(k) + Employer Contribution (US Only)
Company-Paid Life and Disability Insurance
Employee Stock Purchase Plan
Comprehensive Time Off Package
Parental Leave
Employee Assistance Program (EAP)
Training & Professional Development
Tuition & Professional Certification Reimbursement (US Only)
Position Summary:
Essential Duties and Responsibilities:
Define and own the operating model for use case intake proof of concept scaling and value tracking including decision criteria review cadence- and the handoffs between teams — and answer for how the pipeline performs Run the use case intake process: capture problems and ideas from across the organization record the expected value of each (hours saved errors avoided cycle time)
- and prioritize the pipeline on value and effort Perform structured opportunity scanning across each function — inventory tools systems
- and manual workflows; map friction points to the right stage of the transformation approach; score opportunities on value and effort; and maintain the resulting backlog on a regular review cadence Run or take part in proofs of concept alongside the Senior Director and teams across the organization define success criteria before each one starts and recommend whether to scale adjust
- or stop Develop and own the rollout approach for proven digital and AI solutions across functions hubs and regions deciding which teams go first in what order
- with what prerequisites and success criteria Deliver rollouts end to end from planning and configuration of existing tools through content and process changes testing launch
- and handover to steady-state ownership Where a proven solution needs a custom-built or hosted tool define the requirements and hand them to the teams that build and run tools
- while retaining ownership of the rollout Support the development of AI platforms and tools by identifying and helping clear roadblocks such as access data availability approvals competing priorities
- or missing input from the field and by connecting the teams that build them with the users and decisions they need Adapt solutions to new functional and regional contexts without losing what made them work
- and determine when adaptation has gone far enough that the underlying approach must be reconsidered Diagnose where a solution breaks at scale and decide whether to fix redesign
- or retire it Own the value of each use case: set the expected benefit at intake agree the baseline with the measurement function before a proof of concept begins
- and be accountable for the gap between expected and realized value Be responsible for adoption outcomes: define what adoption means for each solution use independent measurement to segment intervention by user population
- and act where uptake stalls Specify the training materials and support model each solution and audience requires and partner with the learning and development team
- which designs and delivers it Build and sustain the Digitization & AI Champions network across every function hub and region as the channel for peer-led rollout and field feedback so support does not bottleneck on a single point
- (Executing) Lead internal technical partners solution delivery partners and hub-based contacts to committed dates making the trade-off calls when scope quality
- and timing collide Ensure every deployment operates within the guardrails set by the Senior Director and meets company standards for data classification access control and responsible AI use — transparency privacy oversight and fairness — including grounding and citation of AI outputs to verified sources
- and partnering with Information Security and Data & AI Governance on required reviews Run listening and continuous improvement activity pulse surveys usage review
- and retrospectives and feed the results into the next round of targeted training and tooling decisions Close the feedback loop: bring what is learned while scaling what sticks what does not and which problems keep recurring into prioritization roadmap and standards discussions with the Senior Director
- and propose scaling opportunities independently This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position
- Employees will be required to perform any other job-related duties assigned by their supervisor or management
Qualifications Knowledge & Skills:
Four-year Bachelor's or equivalent required; Master’s degree in business Information Systems- or a related discipline 10+ years in program delivery digital transformation technology deployment
- or a closely related discipline Demonstrated experience scaling a solution from one team to many across a distributed
- multi-site organization this is the core skill of the role and should be evidenced explicitly Strong independent judgment; able to make sequencing design
- and trade-off decisions and stand behind them
- Track record leading cross-functional initiatives and influencing senior leaders and peers without direct authority Demonstrated ability to build and defend a business case set expected benefits up front and be held accountable for realizing them experience in benefits realization portfolio management
- or value management Proven change management capability in an environment where adoption not technology
- was the hard part
- Strong enablement and facilitation skills; credible in front of both digitally fluent users and experienced hands-on teams who have seen initiatives come and go Working understanding of data foundations — governed sources ownership
- unique identifiers — and why AI built on fragmented data fails
- Able to run multiple parallel workstreams across time zones without losing threads Excellent written and verbal communication
- effective from the yard floor to senior leadership
- Effective across cultures in an international organization Ability and willingness to travel approximately 20%
- including internationally
Preferred:
Experience in maritime- shipbuilding or another complex capital project environment
- Experience running a use case or demand intake process and taking proofs of concept through to scaled rollout Formal organizational change management grounding or certification (Prosci ADKAR Kotter or equivalent)
- applied in practice rather than held as a credential Familiarity with Workfront SharePoint or comparable enterprise project workflow
- and document platforms Experience with AI-assisted knowledge retrieval document synthesis
- or reporting automation in a production setting
Work Environment
Approximately 20% travel required including international travel to Newbuild hubs and shipyards Global team collaboration across time zones
Agency and Third-Party Submissions: Please note this is a direct search by the Company and applications through agencies and other third parties will not be accepted nor will fees be paid for unsolicited resumes Any unsolicited resumes will be considered the Company's property
We know there's a lot to consider As you go through the application process our recruiters will be glad to provide guidance and more relevant details to answer any additional questions Thank you again for your interest in Royal Caribbean Group We hope to see you onboard soon!
It is the policy of the Company to ensure equal employment and promotion opportunity to qualified candidates without discrimination or harassment on the basis of race color religion sex (including pregnancy and related medical conditions) age national origin disability sexual orientation sexuality gender identity or expression marital status citizenship or immigration status veteran or military status or any other characteristic protected by applicable law Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate discrimination or harassment
We are committed to providing reasonable accommodation to support candidates with disabilities during our hiring process If you need a reasonable accommodation please reach out to us at hraccess@rcclcom This email is for disability-related accommodation requests only
Nearest Major Market: Miami
AI Engineering Lead Jobs by Experience Level
See All 367+ AI Engineering Lead Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Engineering Lead JobsAI Engineering Lead Job Market
Who's Hiring
- Booz Allen Hamilton20
- JPMorganChase16
- Johns Hopkins University Applied Physics Laboratory9
- Citi6
- University of San Diego6
Top Industries Hiring
- Technology & Software10
- Education8
- Banking & Financial Services5
- Healthcare & Medical Services5
- Investment & Asset Management4
What Employers Look For
The qualifications that appear most often in AI engineering lead jobs.
- 5 or more years of machine learning or AI engineering experience, including production deployments
- Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
- Experience designing and operating ML pipelines and model serving infrastructure at scale
- Demonstrated leadership of cross-functional technical teams or engineering workstreams
- Familiarity with cloud platforms and MLOps tooling including experiment tracking and model registries
- Bachelor's or master's degree in computer science, machine learning, or a related engineering field
Tips for Your AI Engineering Lead Job Search
Quantify model impact on your resume
Hiring managers for ai engineering lead roles want to see outcomes, not just tools. Replace 'built a recommendation system' with the latency improvement, cost reduction, or business metric it moved. Vague model descriptions get filtered out before a human reviews them.
Distinguish research from production experience
Many ai engineering lead postings explicitly separate prototype-to-production work from research. If you've taken a model from experiment to live serving at scale, call that out in a dedicated section. Conflating the two leaves hiring managers guessing about your actual scope.
Target postings by team structure, not just title
An ai engineering lead at a ten-person startup owns architecture, hiring, and delivery. The same title at a large enterprise may mean technical program coordination. Read the reporting structure and team size in the job description to find roles that match your preferred working style.
Apply early to roles that fit
Migrate Mate lists ai engineering lead openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design narrative for interviews
AI engineering lead interviews almost always include a whiteboard or verbal system design round focused on ML pipelines, model serving, or data infrastructure. Prepare two or three real examples you can walk through end-to-end, covering trade-offs you made and why.
Negotiate scope before negotiating compensation
Before discussing pay, confirm what 'lead' actually means in that organization: do you have headcount authority, final say on architecture, or neither? Getting clarity on decision-making scope in writing protects you from accepting a senior IC role repackaged as a lead title.
AI Engineering Lead Jobs: Frequently Asked Questions
Which companies are hiring the most ai engineering leads?
The most active employers for ai engineering leads right now are Booz Allen Hamilton, JPMorganChase, and Johns Hopkins University Applied Physics Laboratory, and the most openings are in California, Texas, and Virginia, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated in companies scaling applied AI products rather than purely research organizations.
How many ai engineering lead jobs are remote?
About 61% of ai engineering lead openings are fully remote or hybrid as of November 2026, reflecting strong employer flexibility for experienced technical leads. Sub-areas most likely to be remote include MLOps platform work and AI infrastructure roles, while positions tied to on-site data centers or regulated industries tend to require in-person presence.
How do you become an ai engineering lead?
Start by building a track of production ML deployments, not just research projects. Move into owning a full model lifecycle end-to-end, including data pipelines, training, evaluation, and serving. Take on informal technical mentorship within your team, then formally lead a project or workstream. Document architectural decisions you drove and the outcomes they produced, since that evidence is what lead-level interviews test directly.
Can you get an ai engineering lead job with limited experience?
Getting hired as an ai engineering lead with limited experience is realistic if you can demonstrate one strong production AI system you built and owned, even at a small company or as a solo contributor. Roles at early-stage startups often hire leads from candidates with three to four years of focused ML engineering work if the person can show technical depth and self-direction.
What does the ai engineering lead interview process look like?
The ai engineering lead interview process typically moves through a recruiter screen, a technical phone round focused on ML fundamentals and system design, a take-home or live coding exercise, and then a full loop with engineering, product, and sometimes an executive. The loop almost always includes a system design session for an ML-specific scenario and a behavioral round assessing how you've led technical decisions under ambiguity.
Where can I find and apply to ai engineering lead jobs?
You can find and apply to ai engineering lead jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that fit your specialization and experience level, then apply directly to each listing that matches what you're looking for.
See All 367+ AI Engineering Lead Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Engineering Lead Jobs