Remote Applied AI Engineer Jobs
Remote Applied AI Engineer jobs are open across the US at companies hiring remotely, from entry-level roles at remote-first startups to senior roles on large distributed teams, with employers like CVS Health, Alvarez & Marsal, and Netflix hiring right now. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 250+ Remote Applied AI Engineer jobs
INTRODUCTION
Omada Health is on a mission to bend the curve of chronic disease.
Job overview:
Omada Health is a digital care provider that empowers individuals to reach their health goals through sustainable behavioral change. Exceptional software with targeted AI applications is essential for delivering effective care at a broad scale. As a Senior AI Engineer at Omada, you will lead the deployment of sophisticated AI models and applications using state-of-the-art tools and platforms. This is a critical role that combines deep technical expertise with a practical understanding of applying AI in impactful ways.
About you:
- 5+ years of experience deploying AI models with demonstrated business impact.
- Proven track record of designing, deploying, and managing end-to-end AI solutions, with a particular emphasis on Generative AI, prompt engineering techniques, and fine tuning.
- Deep Expertise in utilizing tools for Generative AI interaction (OpenAI, Bedrock, Huggingface TGI, Ollama, langchain, llamaindex)
- Expertise in machine learning tools (e.g., AWS SageMaker, PyTorch, Hugging Face)
- General experience in cloud ML platforms (AWS, Azure, GCP), especially with their ML services (Sagemaker and Azure ML)
- Successful monitoring of model performance post-deployment, with an ability to link AI solutions to tangible business impacts.
- Strong capability for cross-team collaboration, working seamlessly with stakeholders across functional areas to deploy AI solutions that meet broader business needs.
- A natural problem-solver, comfortable with navigating ambiguity and making decisions in complex environments.
- A lifelong learner, continuously seeking to stay updated on new technologies and methodologies in the fast-evolving AI landscape.
- Familiarity with Agile methodologies, demonstrating effectiveness in a fast-paced, iterative development environment.
- BA/BS in Computer Science or a related technical field or equivalent practical experience
- Interest in the intersection of healthcare and AI
Your impact:
Design and Development: Lead the creation of AI solutions specifically harnessing the power of LLMs. Play a pivotal role in influencing business outcomes by deploying new solutions, working closely with product and business collaborators.
Deployment and Impact: Work with industry-standard LLM APIs to inject cutting-edge AI functionalities into broader applications using your experience with cloud platforms like AWS and Azure.
Performance Monitoring: Create models that drive business outcomes and make iterative improvements based on data-driven insights. Ensure deployed models operate at peak efficiency, requiring a vigilant approach to performance monitoring and adjustment.
Agile Collaboration: Deploy models within an Agile development framework, showcasing flexibility, rapid iteration, and a commitment to constant improvement. Proactively collaborate within the Applied AI team and cross-functionally with other development teams, product and business stakeholders to iterate on ideas, solve problems, and achieve shared goals.
Benefits:
- Competitive salary with generous annual cash bonus
- Equity grants
- Remote first work from home culture
- Flexible Time Off to help you rest, recharge, and connect with loved ones
- Generous parental leave
- Health, dental, and vision insurance (and above market employer contributions)
- 401k retirement savings plan
- Lifestyle Spending Account (LSA)
- Mental Health Support Solutions
- ...and more!
It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!
- Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.
- Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.
- Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.
- Deliver Results. We reward impact above output. We set a high bar, we're not afraid to fail, and we take pride in our work.
- Succeed Together. We prioritize Omada's progress above team or individual. We have fun as we get stuff done, and we celebrate together.
- Remember Why We're Here. We push through the challenges of changing health care because we know the destination is worth it.
About Omada Health: Omada Health (Nasdaq: OMDA) is reverse engineering the way healthcare is delivered in America, putting the space between doctor visits–where health is won or lost–at the center of care. Today's healthcare system poorly serves chronic conditions that require ongoing support outside of the exam room, like obesity, diabetes, hypertension, cholesterol, and musculoskeletal conditions. Omada's virtual-first model combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care at scale, including support for GLP-1 therapy. Omada has served more than two million members since launch across 2,000+ employers, health plans, pharmacy benefit managers, and health systems.
Omada is thrilled to share that we've been certified as a Great Place to Work!
We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws.
Below is a summary of salary ranges for this role in the following geographies:
California, New York State and Washington State Base Compensation Ranges: $200,560 - $250,700, Colorado Base Compensation Ranges: $191,840 - $239,800. Other states may vary.
This role is also eligible for participation in annual cash bonus and equity grants.
- The actual offer, including the compensation package, is determined based on multiple factors, such as the candidate's skills and experience, and other business considerations.
INTRODUCTION
Omada Health is on a mission to bend the curve of chronic disease.
Job overview:
Omada Health is a digital care provider that empowers individuals to reach their health goals through sustainable behavioral change. Exceptional software with targeted AI applications is essential for delivering effective care at a broad scale. As a Senior AI Engineer at Omada, you will lead the deployment of sophisticated AI models and applications using state-of-the-art tools and platforms. This is a critical role that combines deep technical expertise with a practical understanding of applying AI in impactful ways.
About you:
- 5+ years of experience deploying AI models with demonstrated business impact.
- Proven track record of designing, deploying, and managing end-to-end AI solutions, with a particular emphasis on Generative AI, prompt engineering techniques, and fine tuning.
- Deep Expertise in utilizing tools for Generative AI interaction (OpenAI, Bedrock, Huggingface TGI, Ollama, langchain, llamaindex)
- Expertise in machine learning tools (e.g., AWS SageMaker, PyTorch, Hugging Face)
- General experience in cloud ML platforms (AWS, Azure, GCP), especially with their ML services (Sagemaker and Azure ML)
- Successful monitoring of model performance post-deployment, with an ability to link AI solutions to tangible business impacts.
- Strong capability for cross-team collaboration, working seamlessly with stakeholders across functional areas to deploy AI solutions that meet broader business needs.
- A natural problem-solver, comfortable with navigating ambiguity and making decisions in complex environments.
- A lifelong learner, continuously seeking to stay updated on new technologies and methodologies in the fast-evolving AI landscape.
- Familiarity with Agile methodologies, demonstrating effectiveness in a fast-paced, iterative development environment.
- BA/BS in Computer Science or a related technical field or equivalent practical experience
- Interest in the intersection of healthcare and AI
Your impact:
Design and Development: Lead the creation of AI solutions specifically harnessing the power of LLMs. Play a pivotal role in influencing business outcomes by deploying new solutions, working closely with product and business collaborators.
Deployment and Impact: Work with industry-standard LLM APIs to inject cutting-edge AI functionalities into broader applications using your experience with cloud platforms like AWS and Azure.
Performance Monitoring: Create models that drive business outcomes and make iterative improvements based on data-driven insights. Ensure deployed models operate at peak efficiency, requiring a vigilant approach to performance monitoring and adjustment.
Agile Collaboration: Deploy models within an Agile development framework, showcasing flexibility, rapid iteration, and a commitment to constant improvement. Proactively collaborate within the Applied AI team and cross-functionally with other development teams, product and business stakeholders to iterate on ideas, solve problems, and achieve shared goals.
Benefits:
- Competitive salary with generous annual cash bonus
- Equity grants
- Remote first work from home culture
- Flexible Time Off to help you rest, recharge, and connect with loved ones
- Generous parental leave
- Health, dental, and vision insurance (and above market employer contributions)
- 401k retirement savings plan
- Lifestyle Spending Account (LSA)
- Mental Health Support Solutions
- ...and more!
It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!
- Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.
- Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.
- Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.
- Deliver Results. We reward impact above output. We set a high bar, we're not afraid to fail, and we take pride in our work.
- Succeed Together. We prioritize Omada's progress above team or individual. We have fun as we get stuff done, and we celebrate together.
- Remember Why We're Here. We push through the challenges of changing health care because we know the destination is worth it.
About Omada Health: Omada Health (Nasdaq: OMDA) is reverse engineering the way healthcare is delivered in America, putting the space between doctor visits–where health is won or lost–at the center of care. Today's healthcare system poorly serves chronic conditions that require ongoing support outside of the exam room, like obesity, diabetes, hypertension, cholesterol, and musculoskeletal conditions. Omada's virtual-first model combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care at scale, including support for GLP-1 therapy. Omada has served more than two million members since launch across 2,000+ employers, health plans, pharmacy benefit managers, and health systems.
Omada is thrilled to share that we've been certified as a Great Place to Work!
We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws.
Below is a summary of salary ranges for this role in the following geographies:
California, New York State and Washington State Base Compensation Ranges: $200,560 - $250,700, Colorado Base Compensation Ranges: $191,840 - $239,800. Other states may vary.
This role is also eligible for participation in annual cash bonus and equity grants.
- The actual offer, including the compensation package, is determined based on multiple factors, such as the candidate's skills and experience, and other business considerations.
See All 250+ Remote Applied AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Applied AI Engineer Job Market
Who's Hiring
- CVS Health30
- Alvarez & Marsal26
- Netflix7
- Geisinger6
- Whatnot5
Top Industries Hiring
- Technology & Software66
- Healthcare & Medical Services45
- Consulting & Professional Services37
- Investment & Asset Management28
- Accounting & Auditing26
What Employers Look For
The qualifications that appear most often in remote applied AI engineer jobs.
- Proficiency in Python with hands-on experience building and deploying machine learning models
- Experience with large language models and frameworks such as PyTorch, Hugging Face, or LangChain
- Familiarity with MLOps tooling including model versioning, monitoring, and CI/CD pipelines
- Bachelor's or master's degree in computer science, machine learning, or a closely related field
- Experience integrating AI models into production software systems via APIs or microservices
- Working knowledge of cloud platforms such as AWS, Google Cloud, or Azure for model serving
Tips for Your Remote Applied AI Engineer Job Search
Tailor your resume to production depth
Hiring managers distinguish candidates who have deployed models in production from those who have only run experiments. Call out inference latency improvements, cost reductions, or uptime metrics from systems you owned end to end, not just notebooks you built.
Show your model evaluation methodology
Interviewers for applied AI roles probe how you measure whether a model actually works in the real world. Document your evals framework, the failure modes you caught before launch, and how you iterated, so you can speak to this concisely and specifically.
Target roles by tech stack, not just title
Applied AI engineer openings vary widely by stack. Filter by the tools you know best, whether that's LangChain, vLLM, or PyTorch with CUDA, so you apply where your day-one contribution is clearest to the hiring team reading your resume.
Apply early to roles that fit
Migrate Mate lists applied ai engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prep a system design answer for AI pipelines
Most applied AI interviews include a system design round specific to ML infrastructure. Practice walking through prompt chaining, retrieval-augmented generation retrieval flow, or batch inference architecture out loud, focusing on trade-offs rather than a single correct answer.
Negotiate on compute access, not just compensation
Applied AI engineers often find that GPU budgets and model API access affect their day-to-day more than title. Before accepting an offer, ask directly what compute resources the team uses and how new projects get resourced, so you can assess the role accurately.
Remote Applied AI Engineer Jobs: Frequently Asked Questions
How do I get a remote applied AI engineer job?
Target companies that already run distributed teams, since they hire remotely by default and know how to onboard someone they never meet in person. Remote applied AI engineer employers screen hard for self-direction and clear written communication on top of the core skills, so show evidence you can own work without someone over your shoulder. Apply to the openings above that match your experience.
Which companies hire remote applied AI engineers?
Companies hiring remote applied AI engineers include CVS Health, Alvarez & Marsal, and Netflix, based on current remote listings on Migrate Mate as of June 2026. Remote-first firms and large companies running distributed teams post the most remote applied AI engineer roles.
Can you get a remote applied AI engineer job with no experience?
Yes, but it is harder than an on-site role, because remote work expects you to operate independently from the start. Entry-level remote applied AI engineer openings do exist, especially at remote-first companies, and a portfolio of real work helps more than a long resume. Applying broadly to the roles that fit improves your odds.
Do you need a degree for remote applied AI engineer jobs?
Not always. Many employers hire remote applied AI engineers on demonstrated skills and prior work rather than a specific degree, though some larger companies still prefer one. Showing relevant results matters more than a credential for most remote applied AI engineer roles.
Which industries hire the most remote applied AI engineers?
Most remote applied AI engineer openings sit in Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, per current remote listings on Migrate Mate as of June 2026. These sectors run distributed teams and hire applied AI engineers remotely most consistently.
See All 250+ Remote Applied AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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