Senior Applied AI Engineer
🏢 Omada Health · all Omada Health jobs
📍 Remote · United States
💰 $174,400 - $250,700 / year
📅 Posted 2026-08-24 · via RemoteIO
🏷 Artificial Intelligence,Generative AI,Machine Learning,AWS,Agile
Apply on original site ↗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 ing 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 d goals.
Benefits:
- Competitive salary with generous annual cash bonus
- Equity grants
- Employee stock purchasing plan (ESPP)
- 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 mo