Senior Software Engineer, AI Transformation

Omada Health

5d•$171,600 - $224,250•Remote

About The Position

Omada Health is looking for an experienced Senior Software Engineer to join their agentic systems team, powering AI Transformation efforts across Engineering, Product, and Design. This team, within the Architecture & Infrastructure department, is responsible for defining and delivering how internal employees use AI to plan, build, test, and operate software safely and effectively. The group provides the patterns, tools, and infrastructure that make AI-augmented work secure, measurable, and accessible to every engineer, PM, and designer. This new team is at the forefront of AI Transformation at Omada, aiming to orchestrate agentic software development with quality built in by design.

Requirements

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

Nice To Haves

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.

Responsibilities

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.