Lead Backend Java Engineer / AI Solution Architect

Job Summary

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.

location: Irving, Texas

job type: Permanent

salary: $150,000 - 155,000 per year

work hours: 8am to 5pm

education: Bachelors

Responsibilities

Establish 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 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.

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.
  
  

Qualifications

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

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.