Senior Software Engineer, AI Transformation

Job overview: 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. About you: 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. Your impact: 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-augme nted 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.