What are the responsibilities and job description for the AI-Native Java Full Stack Engineering Lead position at DXC Technology Services LLC?
Job Description:
About the Role
We are looking for a hands-on engineering leader to transform how our Java full stack teams build software, moving them from traditional development practices to an AI-native engineering model. This leader will work with our client to build the strategy, tooling, and cultural shift required to embed AI agents and copilots into every stage of the software development lifecycle, from requirements and design through coding, testing, and deployment.
This is not a "add Copilot licenses" role. It's a mandate to fundamentally redesign how a Java engineering organization plans, builds, and ships - treating AI agents as first-class collaborators alongside human engineers, with new workflows, new quality gates, and new skills to match.
Key Responsibilities
Define the AI-native engineering vision for Java full stack delivery (Spring Boot/Spring Cloud, Angular/React, microservices, cloud-native architectures), including target-state workflows, tooling stack, and adoption roadmap.
Lead tool selection and integration across AI coding assistants, agentic dev environments, automated code review, and AI-assisted testing/QA pipelines - ensuring interoperability with existing CI/CD, IDEs, and version control.
Redesign SDLC processes to incorporate AI agents at each phase: requirements decomposition, code generation, unit/integration test generation, code review, refactoring, documentation, and incident triage.
Build and lead a center of excellence (or working group) for AI-native Java development, including reusable prompt libraries, agent configurations, coding standards for AI-assisted output, and governance for AI-generated code quality and security.
Upskill the engineering workforce, developing training curricula and hands-on enablement programs to shift developers from traditional coding to AI-orchestrated development (prompt engineering, agent supervision, code review of AI output).
Establish quality, security, and governance guardrails for AI-generated code - including IP/licensing risk, secure coding practices, hallucination detection, and human-in-the-loop review gates.
Define and track success metrics: developer velocity/throughput, code quality (defect rates, test coverage), cycle time reduction, and cost-to-serve improvements attributable to AI-native practices.
Partner cross-functionally with delivery leads, account teams, security/compliance, and client stakeholders to pilot AI-native delivery on live engagements and scale what works.
Stay current on the evolving landscape of AI coding agents, frameworks, and best practices, and continuously evolve the playbook.
Required Qualifications
10 years of software engineering experience, with deep hands-on expertise in Java, Spring Boot/Spring Framework, and full stack development (front-end frameworks such as Angular or React, REST/microservices, relational and NoSQL data stores).
3 years in an engineering leadership role (architect, engineering manager, or technical director) leading teams of 10 engineers.
Demonstrated hands-on experience integrating AI coding assistants or agentic tools (e.g., GitHub Copilot, Cursor, Claude Code, Amazon Q Developer, or similar) into real development workflows - not just evaluation, but production adoption.
Strong understanding of modern CI/CD, DevSecOps practices, and cloud-native architecture (AWS, Azure, or Google Cloud Platform).
Experience designing or redesigning engineering processes/playbooks at scale (multiple teams or a large program).
Excellent communication skills - able to translate technical AI-adoption strategy into business outcomes for both engineering staff and executive stakeholders.
Preferred Qualifications
Experience in a consulting/services environment, delivering to external clients under contractual SLAs.
Familiarity with LLM/agent orchestration frameworks (LangChain, MCP, agent-to-agent protocols) and prompt engineering best practices.
Experience establishing governance frameworks for AI-generated code (security scanning, IP risk, model output validation).
Location: Flexible (Remote/Hybrid - New Orleans,LA)
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive.
If you are an applicant from the United States, Guam, or Puerto Rico
DXC Technology Company (DXC) is an Equal Opportunity employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by law. View postings below .
We participate in E-Verify. In addition to the posters already identified, DXC provides access to prospective employees for the Federal Minimum Wage Poster, Federal Polygraph Protection Act Poster as well as any state or locality specific applicant posters. To access the postings in the link below, select your state to view all applicable federal, state and locality postings. Postings are available in English, and in Spanish, where required. View postings below.
Postings Link
Disability Accommodations
If you are an individual with a disability, a disabled veteran, or a wounded warrior and you are unable or limited in your ability to access or use this site as a result of your disability, you may request a reasonable accommodation by contacting us via email.
Please note: DXC will respond only to requests for accommodations due to a disability.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
About the Role
We are looking for a hands-on engineering leader to transform how our Java full stack teams build software, moving them from traditional development practices to an AI-native engineering model. This leader will work with our client to build the strategy, tooling, and cultural shift required to embed AI agents and copilots into every stage of the software development lifecycle, from requirements and design through coding, testing, and deployment.
This is not a "add Copilot licenses" role. It's a mandate to fundamentally redesign how a Java engineering organization plans, builds, and ships - treating AI agents as first-class collaborators alongside human engineers, with new workflows, new quality gates, and new skills to match.
Key Responsibilities
Define the AI-native engineering vision for Java full stack delivery (Spring Boot/Spring Cloud, Angular/React, microservices, cloud-native architectures), including target-state workflows, tooling stack, and adoption roadmap.
Lead tool selection and integration across AI coding assistants, agentic dev environments, automated code review, and AI-assisted testing/QA pipelines - ensuring interoperability with existing CI/CD, IDEs, and version control.
Redesign SDLC processes to incorporate AI agents at each phase: requirements decomposition, code generation, unit/integration test generation, code review, refactoring, documentation, and incident triage.
Build and lead a center of excellence (or working group) for AI-native Java development, including reusable prompt libraries, agent configurations, coding standards for AI-assisted output, and governance for AI-generated code quality and security.
Upskill the engineering workforce, developing training curricula and hands-on enablement programs to shift developers from traditional coding to AI-orchestrated development (prompt engineering, agent supervision, code review of AI output).
Establish quality, security, and governance guardrails for AI-generated code - including IP/licensing risk, secure coding practices, hallucination detection, and human-in-the-loop review gates.
Define and track success metrics: developer velocity/throughput, code quality (defect rates, test coverage), cycle time reduction, and cost-to-serve improvements attributable to AI-native practices.
Partner cross-functionally with delivery leads, account teams, security/compliance, and client stakeholders to pilot AI-native delivery on live engagements and scale what works.
Stay current on the evolving landscape of AI coding agents, frameworks, and best practices, and continuously evolve the playbook.
Required Qualifications
10 years of software engineering experience, with deep hands-on expertise in Java, Spring Boot/Spring Framework, and full stack development (front-end frameworks such as Angular or React, REST/microservices, relational and NoSQL data stores).
3 years in an engineering leadership role (architect, engineering manager, or technical director) leading teams of 10 engineers.
Demonstrated hands-on experience integrating AI coding assistants or agentic tools (e.g., GitHub Copilot, Cursor, Claude Code, Amazon Q Developer, or similar) into real development workflows - not just evaluation, but production adoption.
Strong understanding of modern CI/CD, DevSecOps practices, and cloud-native architecture (AWS, Azure, or Google Cloud Platform).
Experience designing or redesigning engineering processes/playbooks at scale (multiple teams or a large program).
Excellent communication skills - able to translate technical AI-adoption strategy into business outcomes for both engineering staff and executive stakeholders.
Preferred Qualifications
Experience in a consulting/services environment, delivering to external clients under contractual SLAs.
Familiarity with LLM/agent orchestration frameworks (LangChain, MCP, agent-to-agent protocols) and prompt engineering best practices.
Experience establishing governance frameworks for AI-generated code (security scanning, IP risk, model output validation).
Location: Flexible (Remote/Hybrid - New Orleans,LA)
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive.
If you are an applicant from the United States, Guam, or Puerto Rico
DXC Technology Company (DXC) is an Equal Opportunity employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by law. View postings below .
We participate in E-Verify. In addition to the posters already identified, DXC provides access to prospective employees for the Federal Minimum Wage Poster, Federal Polygraph Protection Act Poster as well as any state or locality specific applicant posters. To access the postings in the link below, select your state to view all applicable federal, state and locality postings. Postings are available in English, and in Spanish, where required. View postings below.
Postings Link
Disability Accommodations
If you are an individual with a disability, a disabled veteran, or a wounded warrior and you are unable or limited in your ability to access or use this site as a result of your disability, you may request a reasonable accommodation by contacting us via email.
Please note: DXC will respond only to requests for accommodations due to a disability.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.