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!