At a Glance
- Tasks: Support AI SDLC assessments and design innovative engineering practices.
- Company: Join Accenture, a global leader in professional services and innovation.
- Benefits: Enjoy competitive salary, private medical insurance, and extra leave for charity work.
- Other info: Flexible working environment with opportunities for career growth.
- Why this job: Make an impact by shaping the future of AI in software development.
- Qualifications: Experience in software engineering and familiarity with AI tools required.
The predicted salary is between 63000 - 77000 £ per year.
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity.
As a team: Joining the team means becoming part of a community that serves Accenture's clients with the best and brightest insights regarding AI-enabled engineering – how AI is reshaping the way software is planned, built, tested and run, and the operating models and ways of working that make it stick. Our values include challenging our clients' norms, building trusted relationships, and embracing diversity as a source of creativity and inspiration.
Your responsibilities as an AI SDLC Consultant will include:
- Supporting AI SDLC maturity assessments, analysing current engineering practices, toolchains and delivery metrics to identify where AI can add the most value.
- Supporting the design of AI-enabled engineering ways of working, including how developers, testers and product teams work alongside AI coding assistants and agents.
- Supporting the evaluation and selection of AI development tools against client requirements, security and cost.
- Helping plan and run pilots and proofs of value, defining success measures and capturing results to inform scale-up decisions.
- Supporting the definition and baselining of productivity and quality measures, and the value cases built on them.
- Supporting the design of governance and guardrails for AI-assisted development.
- Supporting the application of AI to legacy modernisation.
- Supporting the development of adoption roadmaps and change plans.
- Staying abreast of the fast-moving AI engineering landscape and sharing insights with clients and the team.
We are looking for individuals with the following skills and experience:
- Have hands-on experience in software engineering, DevOps, platform engineering or quality engineering.
- Have practical experience using AI coding assistants or agentic development tools.
- Understand the modern software development lifecycle and practices such as Agile, DevOps, CI/CD and DevSecOps.
- Are familiar with how large language models and AI agents work in practice.
- Are curious and passionate about exploring emerging technologies.
- Can connect changes in engineering practice to business outcomes.
- Can simplify and explain complex technical topics for non-technical stakeholders.
- Ability to inspire and work across teams and build consensus in high-pressure situations.
- Have proven stakeholder management and communication skills.
At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes private medical insurance and extra days leave per year for charitable work of your choice!
Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners.
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.
AI Software Development Life Cycle (SDLC) Consultant in Edinburgh employer: Accenture
Accenture is an excellent employer for those looking to thrive in a dynamic environment, particularly in the role of Operations Engineer. With a strong focus on employee growth and development, you will have the opportunity to collaborate with senior colleagues while enjoying flexible work arrangements that promote a healthy work-life balance. The company's commitment to continuous improvement and innovation makes it a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land AI Software Development Life Cycle (SDLC) Consultant in Edinburgh
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Accenture or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Accenture.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Accenture.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Accenture that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Software Development Life Cycle (SDLC) Consultant in Edinburgh
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Accenture.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Accenture and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Accenture
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Accenture uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
