AI Enabled Full Stack Engineer

Software Engineer- AI Enabled Full Stack Engineer

Role

Location:

Belfast

Salary:
Competitive (based on experience)

Level: Accenture will be hiring at Specialist

Please Note:

Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application.

Note:

The above information relates to a specific client requirement

Are you an engineer who doesn't just write code — but thinks with AI at your side? At Accenture Technology, we're looking for curious, ambitious Software Engineers who are already using AI-enabled tooling to move faster, build smarter, and deliver more. This isn't a role where AI adoption is a future aspiration — it's the way we work today.

You’ll be embedded in real client engagements across our practice — building next-generation applications where AI accelerates everything from design and development to testing and deployment. With access to Accenture's unmatched global resources, deep partnerships with the world's leading technology companies, and a culture built on continuous innovation, you'll work on challenges that are genuinely complex — and you won't face them alone.

You’ll be surrounded by a team of talented, passionate engineers who share knowledge openly, lift each other up, and are as invested in your growth as they are in delivering great work.

This role sits within our Health and Public Service practice, giving you the opportunity to deliver technology solutions that serve communities and make a real societal impact.

We believe the best engineers own their work end-to-end — from the first line of code to live production. Here's how that breaks down:

Build

• Collaborate with business stakeholders to shape requirements and translate them into clean, well-designed technical solutions

• Deliver production-grade Java applications using AI-assisted development practices (e.g. Git Hub Copilot, Claude Code, or equivalent)

• Build prototypes and integrations across large complex enterprise systems

• Contribute to prompt engineering and AI workflow design as part of your standard delivery practice

Own

• Take accountability for live application health — leading incident response, root cause analysis, and rapid resolution

• Use AI-assisted diagnostics to identify issues faster and implement robust, versioned fixes

• Handle JSON/XML message manipulation and database-level troubleshooting with confidence

Evolve

• Continuously improve the systems you work on — reducing technical debt, improving resilience, and raising the bar on code quality

• Apply AI-enabled tooling to refactoring, test coverage, and monitoring

• Stay ahead of emerging engineering practices and bring new ideas into the team

• BSc in Computer Science, Software Engineering, or equivalent experience

• 4+ years' commercial experience across the full development lifecycle (design, build, test, deploy, support)

• Strong Core Java development skills; experience with Spring (Boot, MVC, REST) and API Design

• Strong front-end development skills; experience with Angular, HTML, CSS, Java script

• Experience with SQL and/or No
  
  SQL databases; familiarity with Hibernate

• Comfortable working in Agile/Scrum environments using GIT and JIRA

• Active user of AI-enabled development tooling (e.g. Git Hub Copilot, Cursor, ChatGPT, Claude, or similar) — we want to hear how you're using these in your day-to-day work

• Strong analytical and problem-solving mindset; comfortable with ambiguity

• Clear communicator — written and verbal — with a genuine team-player attitude

• Demonstrated use of LLM-based coding assistants to improve productivity, code quality, or test coverage

• Familiarity with prompt engineering concepts and applying them in a development context

• Awareness of AI safety and responsible AI use in a software engineering context

• Experience with designing and implementing agentic workflows within the SDLC, AI-assisted debugging, or AI-enabled CI/CD pipelines

• Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native development patterns

• Familiar it…