Senior Applied AI Engineer

Omada Health

9h•$191,840 - $250,700•Remote

About The Position

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.

Requirements

5+ years of experience deploying AI models with demonstrated business impact.
Proven track record of designing, deploying, and managing end-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

Responsibilities

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.
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.