Senior Applied AI Engineer

Omada Health is a digital care provider that empowers individuals to reach their health goals through sustainable behavioral change. 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, combining deep technical expertise with practical applications of AI.

Responsibilities:

• Lead the creation of 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:

• 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