AI Enabled Full Stack Engineer in Manchester

AI Enabled Full Stack Engineer in Manchester

Manchester Full-Time 50000 - 60000 € / year (est.) No home office possible
Accenture UK & Ireland

At a Glance

  • Tasks: Build AI-enabled applications and collaborate with stakeholders to deliver innovative solutions.
  • Company: Join Accenture Technology, a leader in AI-driven software engineering.
  • Benefits: Enjoy a competitive salary, flexible working, and extensive benefits.
  • Other info: Be part of a supportive team focused on continuous learning and growth.
  • Why this job: Work on cutting-edge projects that leverage AI to transform software development.
  • Qualifications: 4+ years of full-stack development experience and strong Java skills required.

The predicted salary is between 50000 - 60000 € per year.

Role Location: Belfast

Salary: Competitive (based on experience)

Level: 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.

The Opportunity

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.

What You'll Do

  • 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. GitHub 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
  • 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
  • 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

Qualifications

  • 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, Javascript
  • Experience with SQL and/or NoSQL databases; familiarity with Hibernate
  • Comfortable working in Agile/Scrum environments using GIT and JIRA
  • Active user of AI‑enabled development tooling (e.g. GitHub 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

AI‑Enabled Skills (Essential At CL9)

  • 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

Desirable

  • Experience with cloud platforms (AWS, Azure, or GCP) and cloud‑native development patterns
  • Familiarity with Kafka, Spring Batch, or event‑driven architectures
  • Knowledge of DevSecOps or SRE practices, particularly where AI tooling has been applied

What Sets You Apart

We’re especially interested in engineers who can point to specific examples of how AI tooling has changed the way they work — faster delivery, better test coverage, smarter debugging, cleaner architecture. You don’t need to be an AI researcher; you need to be an engineer who has genuinely leaned in.

What's In It For You

At Accenture, you’ll receive a competitive salary and an extensive benefits package. Flexible working arrangements can be discussed depending on the position.

Applications close date: 31/05/2026

Accenture reserves the right to close the role prior to this date should a suitable applicant be found.

AI Enabled Full Stack Engineer in Manchester employer: Accenture UK & Ireland

At Accenture Technology, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As an AI Enabled Full Stack Engineer in Belfast, you'll have access to unparalleled resources and support from a team of passionate professionals dedicated to your growth and success. With flexible working arrangements and a commitment to continuous learning, you'll thrive in an environment where your contributions are valued and your career can flourish.

Accenture UK & Ireland

Contact Detail:

Accenture UK & Ireland Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Enabled Full Stack Engineer in Manchester

Tip Number 1

Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI. A friendly chat can lead to insider info about job openings or even referrals.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving AI tooling. This gives potential employers a taste of what you can do and how you think.

Tip Number 3

Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills and boost your confidence.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace AI Enabled Full Stack Engineer in Manchester

Core Java Development
Spring (Boot, MVC, REST)
API Design
Front-End Development (Angular, HTML, CSS, Javascript)
SQL and/or NoSQL Databases
Hibernate
Agile/Scrum Methodologies

Some tips for your application 🫡

Show Your AI Skills:Make sure to highlight your experience with AI-enabled tools in your application. We want to see how you've used these tools to enhance your coding process and improve productivity.

Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific skills and experiences mentioned in the job description. We love seeing candidates who take the time to connect their background to what we’re looking for.

Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your skills and experiences shine through without unnecessary fluff.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!

How to prepare for a job interview at Accenture UK & Ireland

Showcase Your AI Experience

Make sure to highlight specific examples of how you've used AI-enabled tools in your previous projects. Whether it's using GitHub Copilot for faster coding or applying AI diagnostics for debugging, sharing these experiences will demonstrate your hands-on knowledge and enthusiasm for the role.

Brush Up on Core Technologies

Before the interview, revisit your knowledge of Java, Spring, and front-end technologies like Angular. Be prepared to discuss how you've applied these in real-world scenarios, especially in an Agile environment. This will show that you're not just familiar with the tech but can also leverage it effectively.

Prepare for Problem-Solving Questions

Expect to face questions that assess your analytical and problem-solving skills. Think of complex challenges you've tackled in the past, particularly those involving AI tooling. Practising how you articulate your thought process will help you stand out as a clear communicator.

Understand the Company Culture

Research Accenture's values and culture, especially their focus on continuous innovation and teamwork. Be ready to discuss how you align with these principles and how you can contribute to a collaborative environment. This will show that you're not only a technical fit but also a cultural one.