The InRhythm Opportunity
InRhythm is establishing a modern software engineering practice built around an AI-driven Development Lifecycle (AI-DLC) methodology — spec-driven, agentic, and powered by Claude. As an AI Solution Architect, you will serve as the technical and delivery authority of an elite pod focused on accelerating backend feature delivery for an enterprise Node.js and Java platform hosted on AWS. This is not a research role. It is a hands-on leadership position responsible for defining how AI agents integrate into the software delivery lifecycle and ensuring production-grade quality at every stage.
Your Impact
You will establish the architectural guardrails, agentic delivery patterns, and human review governance that determine how quickly and safely the pod ships features. Your decisions will directly shape the quality of AI-generated code entering a regulated enterprise codebase and the speed at which the business can act on new opportunities. As the architect of this practice, the patterns you set will be codified and scaled across the firm.
What You Will Do
- Own the Architecture: Define and enforce architectural standards for Node.js services, Java backend systems, and AWS infrastructure that Claude must respect when generating code.
- Lead Agentic Delivery Governance: Establish human-in-the-loop checkpoints, merge gate criteria, and code review standards for AI-generated output entering the main branch.
- Design the Spec Framework: Collaborate with the AI Solution Owner to ensure feature specifications are structured for maximum Claude effectiveness, covering domain models, API contracts, and acceptance criteria.
- Drive Technical Delivery: Carry final accountability for architectural trade-off decisions, quality gates, and technical risk escalation.
- Mentor the Pod: Set the bar for engineering excellence across AI Backend Engineers in code quality, security practices, test coverage, and agentic workflow discipline.
- AWS Platform Stewardship: Own cloud architecture decisions including compute, networking, IAM, CI/CD pipeline design, and SAST/DAST integration for AI-generated code.
What You Will Bring
Must Have Experience:
- Node.js Mastery: 7+ years of production Node.js experience with deep knowledge of Express/Fastify/NestJS, async patterns, and building scalable backend services.
- AWS Cloud Architecture: Professional experience designing and operating production systems on AWS including CDK, Lambda, DynamoDB, EKS, RDS, API Gateway, CloudWatch, X-Ray, and IAM.
- Agentic AI Delivery Experience: Hands-on experience using Claude Code, GitHub Copilot, or equivalent AI coding agents in a production software delivery context.
- CI/CD & DevSecOps: Experience designing pipelines with security scanning (SAST/DAST), deployment strategies, test and quality automation gates, and high-frequency deployment cadences.
- Technical Leadership: Demonstrated ability to lead engineering teams, conduct rigorous code reviews, and set and enforce quality standards.
Nice to Have Experience:
- React/Frontend Literacy: Familiarity with React component patterns, state management, and the ability to review frontend code when needed.
- Java Proficiency: Hands-on experience with Java backend systems including Spring Boot, Spring Security, Spring Data, transaction management, and domain-driven design.
- Experience pioneering AI-assisted delivery practices in an enterprise or consultancy context.
- Familiarity with prompt engineering principles and context window management for code generation.
- Background in regulated industries (financial services, healthcare, public sector) where AI governance is non-trivial.
- Exposure to spec-driven development methodologies such as BDD, Gherkin, or structured markdown specs.
The InRhythm Consultant
At InRhythm, we are more than technical executors. As a member of the AI-DLC practice, every consultant is expected to demonstrate:
- Strategic Thinking: The ability to see the business impact behind every architectural decision and every agentic workflow.
- Clarity and Ownership: Taking full responsibility for outcomes and communicating technical trade-offs with transparency.
- Stakeholder Alignment: Building trust with client counterparts and ensuring technical decisions align with business goals.
- Bias to Measurable Outcomes: A relentless focus on delivering high-quality, high-velocity results that demonstrate the value of agentic delivery.
