Omada Health

4 weeks ago

Senior Applied AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Lead deployment of sophisticated AI models and applications, with a focus on Generative AI and LLM-based solutions. Collaborate with product and business teams to deliver AI features on cloud platforms (AWS/Azure), monitor performance post-deployment, and iterate in an Agile environment to drive measurable business impact in healthcare.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead design and deployment of AI solutions that leverage LLMs and other AI techniques, collaborating with product and business teams to align with broader company goals.
•Deploy models using industry-standard APIs and cloud platforms (AWS/Azure), ensuring seamless integration into larger applications.
•Monitor model performance post-deployment, iterating improvements based on data-driven insights to maximize business impact.
•Collaborate cross-functionally with development, product, and business stakeholders to deploy AI features that meet strategic needs.
•Advance Agile practices within the Applied AI team, balancing rapid iteration with quality and reliability.

Pay and Benefits

Equity and Bonus:Equity

Perks:Remote WorkEquityHealth InsuranceDentalVision401kAnnual BonusParental LeaveLearning BudgetLsa

Key Requirements

•5+ years deploying AI models with measurable business impact and end-to-end AI solution delivery.
•Proven experience with Generative AI, prompt engineering, and fine-tuning.
•Deep expertise with Generative AI interaction tools: OpenAI, Bedrock, HuggingFace TGI, Ollama, langchain, llamaindex.
•Experience with ML tooling and cloud ML platforms: AWS SageMaker, PyTorch, Hugging Face; familiarity with AWS/Azure/GCP ML services.
•Strong monitoring of model performance post-deployment and ability to tie AI outcomes to business results; excellent cross-functional collaboration and Agile mindset.

Experience:5+ yearsHealthcareAIHealthtech

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solvingAdaptabilityLeadership

Languages:English

Tech Stack:OpenAIBedrockHuggingFaceOllamaLangchainLlamaindexAWS SageMakerPyTorchHugging FaceAWSAzureGCPSagemakerAzure ML

Company Brief

Omada Health

Provides digital care programs for chronic conditions like diabetes, hypertension, and behavioral health, combining coaching, connected devices, and data-driven interventions to improve health outcomes and reduce costs for employers and health plans.

Industry: Digital Therapeutics

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn

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Omada Health

4 weeks ago

Senior Applied AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead design and deployment of AI solutions that leverage LLMs and other AI techniques, collaborating with product and business teams to align with broader company goals.
•Deploy models using industry-standard APIs and cloud platforms (AWS/Azure), ensuring seamless integration into larger applications.
•Monitor model performance post-deployment, iterating improvements based on data-driven insights to maximize business impact.
•Collaborate cross-functionally with development, product, and business stakeholders to deploy AI features that meet strategic needs.
•Advance Agile practices within the Applied AI team, balancing rapid iteration with quality and reliability.

Pay and Benefits

Equity and Bonus:Equity

Perks:Remote WorkEquityHealth InsuranceDentalVision401kAnnual BonusParental LeaveLearning BudgetLsa

Key Requirements

•5+ years deploying AI models with measurable business impact and end-to-end AI solution delivery.
•Proven experience with Generative AI, prompt engineering, and fine-tuning.
•Deep expertise with Generative AI interaction tools: OpenAI, Bedrock, HuggingFace TGI, Ollama, langchain, llamaindex.
•Experience with ML tooling and cloud ML platforms: AWS SageMaker, PyTorch, Hugging Face; familiarity with AWS/Azure/GCP ML services.
•Strong monitoring of model performance post-deployment and ability to tie AI outcomes to business results; excellent cross-functional collaboration and Agile mindset.

Experience:5+ yearsHealthcareAIHealthtech

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solvingAdaptabilityLeadership

Languages:English

Tech Stack:OpenAIBedrockHuggingFaceOllamaLangchainLlamaindexAWS SageMakerPyTorchHugging FaceAWSAzureGCPSagemakerAzure ML

Company Brief

Omada Health

Industry: Digital Therapeutics

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn