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AI Software Development Life Cycle (SDLC) Consultant

On-site in London·Full-time·Added today (last checked 13 Nov)

Accenture

338 open roles

Our summary

Work mode
On-site, London
Contract
Full-time

Skills

Pay & benefits

What you'll get

At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes private medical insurance and 3 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 to enable delivery of the first-class services we are known for.

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

The role

Role: AI SDLC Consultant

Role: AI SDLC Consultant

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. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.

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. Year after year, Accenture is recognised worldwide not just for business performance but for inclusion and diversity too.

"Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO

What you'll do

  • 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 (e.g. GitHub Copilot, Cursor, Claude Code, Amazon Q Developer, AI-driven testing platforms) 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 (e.g. DORA metrics, cycle time, defect rates, developer experience), and the value cases built on them
  • Supporting the design of governance and guardrails for AI-assisted development, covering secure coding, code review, IP and licensing, data privacy and responsible AI
  • Supporting the application of AI to legacy modernisation, including code comprehension, documentation and migration
  • Supporting the development of adoption roadmaps and change plans, including engineer enablement, training and communities of practice
  • Staying abreast of the fast-moving AI engineering landscape - new tools, agentic development patterns and emerging practices - and sharing insights with clients and the team

How you'll work

Location: London, Manchester, Edinburgh

Mobility: Up to 100%

Career Level: Consultant (ML9)

Job Qualifications

We are looking for individuals with the following skills and experience:

Technology Experience

  • Have hands-on experience in software engineering, DevOps, platform engineering or quality engineering, or have advised on engineering transformation, and are keen to apply this to AI-enabled delivery
  • Have practical experience using AI coding assistants or agentic development tools, and understand their strengths and limitations
  • 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, including prompting, context management and evaluating outputs
  • Are curious and passionate about exploring emerging technologies (agentic AI, multi-agent systems, Cloud Native, Platform Engineering, etc.)

Strategic Thinking

  • Can connect changes in engineering practice to business outcomes such as speed to market, quality and cost
  • Can simplify and explain complex technical topics for non-technical stakeholders
  • Exposure to measuring engineering performance or developer productivity

Stakeholder Management

  • Ability to inspire and work across teams and build consensus in high-pressure situations
  • Are comfortable working with both engineering teams and technology leaders, building credibility with practitioners and executives alike
  • Have proven stakeholder management and communication skills, leveraged to influence and persuade client stakeholders

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

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. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Hiring process

2 steps1 interviewa task to do
  1. Application · 15 min

  2. Application review · With recruiters

  3. Interviews

    They contact you by phone or email (Workday) to schedule interviews by phone, video call or in person.

  4. Online activity

    Online test · Not every role

    For some roles you are asked to complete an online activity on technical skills, strengths or decision-making.

  5. Offer

  • Response time depends on the role and area; your recruiter can give you guidance.
  • If you are not selected, they keep your information for future opportunities.

About Accenture

Industry
Consulting
Founded
1989
Employees
500,000+
Headquarters
Dublin, Ireland

In their own words

About the company & 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. We collaborate closely with experts globally to bring the best to our clients every day and stay relevant to their changing needs.

Our teams are changing businesses every day using deep industry insights, technology knowledge and innovative ideas. Positioned at the intersection of business, technology and industry, we devise creative new strategies and target operating models, based on trends, insights and data. With an eye for competitive advantage, digital disruption, operating models, and the future workforce, we take on the challenge of designing and implementing transformative business solutions, using the technology to drive business advantage.

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