Senior Applied AI Engineer

About the role

Omada Health is seeking a Senior Applied AI Engineer to contribute to the development and enhancement of our digital health solutions. In this role, you will be responsible for integrating advanced artificial intelligence capabilities, with a particular focus on generative AI, into our platform to improve the management of chronic diseases. This position requires a combination of technical expertise and practical application of AI to generate meaningful health outcomes for users. You will work closely with cross-functional teams to design, deploy, and optimize AI models that support our mission of transforming health through innovative technology. The ideal candidate will have a strong background in deploying AI solutions in real-world settings, with experience in large language models and cloud-based AI tools.

Key facts

What you'll do

• Lead the design, development, and deployment of AI models, with a specific emphasis on large language models (LLMs), to enhance user experience and improve healthcare delivery.
• Integrate AI functionalities into existing applications using cloud platforms such as AWS and Azure, leveraging industry-standard APIs for large language models.
• Monitor the performance of deployed AI models continuously, making adjustments to optimize their effectiveness and ensure alignment with business objectives.
• Collaborate with product managers, designers, and other engineering teams to translate business needs into technical AI solutions that are scalable and reliable.
• Contribute to the iterative development of AI systems within an Agile framework, ensuring continuous improvement and adaptation to new data and insights.
• Support the integration of generative AI tools like OpenAI, Bedrock, Huggingface TGI, Ollama, Langchain, and LlamaIndex into our health platform.
• Assist in designing prompts and fine-tuning models to maximize their effectiveness in healthcare applications, ensuring they deliver accurate and relevant responses.
• Help deploy and scale AI models in cloud environments, ensuring high availability, security, and compliance with relevant standards.
• Provide guidance on AI best practices, including model evaluation, bias mitigation, and data privacy considerations, especially within healthcare contexts.
• Establish metrics and monitoring systems to evaluate the impact of AI solutions on health outcomes and user engagement, providing insights for ongoing improvements.
• Work with data scientists and engineers to develop pipelines for training, testing, and deploying AI models efficiently.
• Stay informed about emerging trends and advancements in AI, particularly generative AI, and assess their applicability to healthcare solutions.
• Document AI processes, models, and system architectures to facilitate knowledge sharing and future development efforts.
• Support compliance with healthcare regulations and ITAR restrictions, ensuring all AI solutions adhere to legal and ethical standards.
• Participate in code reviews, knowledge sharing sessions, and team meetings to foster a collaborative and innovative environment.
• Contribute to the development of technical documentation and user guides for AI features integrated into our health platform.

Requirements

• A minimum of 5 years of experience deploying AI models that have demonstrated tangible business value, preferably in healthcare or related fields.
• Proven ability to design, deploy, and manage comprehensive AI solutions, including experience with generative AI, prompt engineering, and model fine-tuning.
• Hands-on experience working with generative AI interaction tools such as OpenAI, Bedrock, Huggingface TGI, Ollama, Langchain, and LlamaIndex.
• Strong proficiency in machine learning frameworks like AWS SageMaker, PyTorch, and Hugging Face.
• Familiarity with cloud ML platforms including AWS, Azure, or GCP, and their respective machine learning services.
• Demonstrated success in monitoring AI model performance after deployment and linking AI solutions to measurable business or health outcomes.
• Excellent collaboration skills, with the ability to work effectively across multidisciplinary teams including product managers, designers, and engineers.
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• An interest in the intersection of healthcare and artificial intelligence, with a desire to improve health outcomes through innovative AI solutions.
• Ability to work in a fast-paced environment, managing multiple projects and priorities simultaneously.
• Strong problem-solving skills and a proactive approach to identifying and addressing technical challenges.
• Knowledge of data privacy, security standards, and compliance requirements relevant to healthcare data and AI applications.

Nice to have

• Experience working within Agile development methodologies to facilitate rapid iteration and deployment.
• Prior exposure to healthcare or health tech industries, understanding the unique challenges and regulations involved.
• Familiarity with healthcare data standards such as HIPAA or ITAR restrictions related to sensitive health information.
• Experience with data visualization and reporting tools to communicate AI performance and impact metrics effectively.
• Knowledge of software engineering best practices, including version control, testing, and continuous integration.

Skills & tools

Generative AI tools (OpenAI, Bedrock, Huggingface TGI, Ollama, langchain, llamaindex)

Machine Learning frameworks (AWS SageMaker, PyTorch, Hugging Face)

Cloud ML platforms (AWS, Azure, GCP)

Practical notes

Compensation for this role is based on geographic zone, with the following annual base salary ranges:

Zone 1: $200,560 - $250,700

Zone 2: $191,840 - $239,800

Zone 3: $174,400 - $218,000

The final offer will depend on the candidate's skills, experience, and internal equity considerations.

Benefits include a competitive salary, annual cash bonus, equity grants, ESPP, flexible time off, parental leave, health insurance, 401k, and mental health support.

Omada Health is a remote-first company, allowing team members to work from anywhere within the United States.

All candidates must be authorized to work in the USA; visa sponsorship is not provided.

This role involves working with sensitive health data and may require adherence to healthcare regulations and ITAR restrictions.

Candidates should be prepared for a collaborative interview process involving technical assessments and discussions of previous AI projects.