Senior Applied AI Engineer

Role Description

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. This is a critical role that combines deep technical expertise with a practical understanding of applying AI in impactful ways.

Qualifications

• 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 an 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, linking AI solutions to tangible business impacts.
• Strong capability for cross-team collaboration, working seamlessly with stakeholders across functional areas.
• 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, influencing business outcomes by deploying new solutions.
• Deployment and Impact: Work with industry-standard LLM APIs to inject cutting-edge AI functionalities into broader applications using cloud platforms like AWS and Azure.
• Performance Monitoring: Create models that drive business outcomes and make iterative improvements based on data-driven insights.
• Agile Collaboration: Deploy models within an Agile development framework, collaborating within the Applied AI team and cross-functionally with other development teams.

Benefits

• 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!