AI Solutions Architect

InRhythm, Inc.
Dallas, TX, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Spring Security Artificial Intelligence Amazon Web Services Cloud Engineering Code Coverage Code Generation Software Quality Code Review Continuous Integration Amazon DynamoDB Java Platform Enterprise Edition (J2EE)
+18 more
Identity and Access Management RxJS GitHub Copilot Spring-boot Spring Data Amazon Relational Database Service AngularJS Gherkin Deployment Automation Virtual Agents Cloudwatch Api Gateway Domain Driven Design Devsecops Api Management Static Application Security Testing Vulnerability Analysis Dynamic Application Security Testing

Job description

  • As an AI Solution Architect, you will serve as the technical and delivery authority of an elite pod focused on accelerating feature delivery for an enterprise Java, Spring Boot, and Angular 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 Java/Spring Boot services, Angular front-end patterns, and AWS hosting 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 Full Stack 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., * 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.

Requirements

Must Have Experience:

  • Java & Spring Boot Mastery: 7+ years of production Java experience with deep knowledge of Spring Security, Spring Data, transaction management, and domain-driven design.
  • Angular Expertise: Proven ability to architect and review Angular applications including component patterns, RxJS, NgRx/state management, and module structure.
  • AWS Cloud Architecture: Professional experience designing and operating production systems on AWS including CDK, Lambda, DynamoDB, ECS, 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:

  • 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.

Benefits & conditions

This role aligns with InRhythm’s standard salary bands for Principal Architect. Specific compensation will be calibrated based on technical depth and experience level., At InRhythm, we believe in building a better workplace. When you join our team, you can expect a number of work/life benefits

  • Comprehensive and customizable Medical, Dental, and Vision Plans
  • 401(k) Matching
  • Scalable PTO
  • Social and Flexible Work Environment
  • Weekly Happy Hours and Cultural Events to get to know your team

About the company

  • 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., At InRhythm, we are more than technical executors. As a member of the AI-DLC practice, every consultant is expected to demonstrate

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