Senior Applied AI Engineer

Omada Health

Senior AI Engineer at Omada Health deploying sophisticated AI solutions in healthcare. Leading AI model deployment and collaborating across teams to drive business impact.

Posted 6/24/2026full-timeRemote • California, New York, Washington • 🇺🇸 United StatesSenior💰 $200,560 - $250,700 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPyTorch

About the role

Key responsibilities & impact

Lead the deployment of sophisticated AI models and applications using state-of-the-art tools and platforms.
Design and Develop AI solutions specifically harnessing the power of LLMs.
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.
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.
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.

Requirements

What you’ll need

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

Benefits

Comp & perks

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!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI model deploymentGenerative AIprompt engineeringfine tuningmachine learningperformance monitoringdata-driven insightsAgile developmentcloud ML platformsend-to-end AI solutions

Soft Skills

cross-team collaborationproblem-solvingdecision-makingadaptabilitylifelong learning

Certifications

BA/BS in Computer Science