Senior Applied AI Engineer

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.

• 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

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.

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.