Senior Software Engineer, AI Transformation

Omada Health is on a mission to bend the curve of chronic disease. Our programs help people make behavior changes to improve their health and their lives.

We are a virtual-first healthcare and technology company looking for an experienced Senior Software Engineer to join our agentic systems team, powering our AI Transformation efforts across Engineering, Product, and Design.

Our team sits within the Architecture & Infrastructure department, inside of the larger Engineering org. Our mission is to define and deliver how internal Omadans use AI to plan, build, test, and operate software safely and effectively. This group provides the patterns, tools, and infrastructure that make AI-augmented work secure, measurable, and accessible to every engineer, PM, and designer.

This team is new, and is poised to build useful things. We are at the forefront of AI Transformation work at Omada, and we are leading the way towards a near future, where we can orchestrate agentic software development with quality built in by design.

You are confident in your capabilities. You are good with people, and have led a life and career full of positive relationships. You are motivated by multiplying the impact of others through thoughtfully designed tools and workflows. You enjoy working at the intersection of infrastructure, application development, and human-centered tooling, and you’re comfortable owning ambiguous problems end-to-end. 

You have strong software engineering fundamentals, are fluent with modern AI tooling and APIs, and are curious about how agentic systems are changing the way we plan, build, test, and operate software. You value communication and empathy as much as technical depth, and you like to collaborate directly with internal customers to understand real workflows and pain points.

• Build AI-powered tools into engineers’ day-to-day workflows (e.g., Claude, VS Code, GitLab, Datadog, internal documentation, Slack chatops).
• Implement and evolve inference and tool-calling pathways using Claude models on Amazon Bedrock, LiteLLM, and MCP/tool gateways within Omada’s secure networks.
• Partner with teams across Engineering to define AI-augmented SDLC patterns across planning, coding, testing, and operations.
• Prototype and harden Slack-based chatops experiences that safely orchestrate internal services through business-level agentic harnesses.
• Instrument and monitor AI usage, performance, and cost to help the team and engineering leadership understand our impact and our organizational maturity.
• Collaborate with security, compliance, and infrastructure teams to ensure that AI workflows are designed to handle PHI and other sensitive data safely.
• Create reusable examples, templates, and internal libraries that make it easy for teams to adopt AI-powered workflows without bespoke implementations.
• Contribute to training, documentation, and office hours that help engineers, PMs, and designers become confident AI users and partners.

• Enjoy working on tools and systems that enable other teams to deliver better software, faster.
• Thrive in environments where you can operate cross-functionally and influence architecture, development, and deployment workflows.
• Like to collaborate with Platform, DevOps, and Security teams to improve reliability and observability.
• Believe that quality is everyone’s responsibility, and enjoy helping others succeed at improving quality
• Love to mentor and learn from your teammates – training and collaborating with developers to write great code and solve problems together.

• 8+ years of experience as a Software Engineer working on infrastructure, dev tools, or similar enabling internal systems.
• Strong experience building backend services and integrations (e.g., REST/GraphQL APIs, event-driven systems, or internal service meshes).
• Hands-on experience with at least one modern LLM platform or orchestration layer (e.g., AWS Bedrock, OpenAI, Anthropic, LiteLLM, LangChain, or similar).
• Proficiency in at least one modern programming language used for backend and tooling (e.g., Ruby, Python, TypeScript/Node, Go, or similar).
• Experience integrating internal services or third-party APIs into bots, CLIs, chatops workflows, or internal tools.
• Familiarity with AWS cloud infrastructure and secure-by-default patterns for handling secrets, credentials, and sensitive data.
• Ability to collaborate cross-functionally, translate real-world workflows into technical requirements, and communicate tradeoffs clearly.
• Excellent communication and documentation skills

• Experience building Slack apps, chatops tooling, or similar conversational interfaces for internal teams.
• Experience designing or operating MCP/tool gateways, function-calling agents, or other agentic orchestration frameworks.
• Familiarity with observability tools and practices to track AI usage, reliability, and cost over time.
• Practical experience managing infrastructure on AWS with Terraform
• Background working in healthcare or other regulated industries where PHI/PII handling, auditability, and compliance are critical.