23h ago
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AI Software Development Life Cycle (SDLC) Consultant

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Quick Summary

Key Responsibilities

Supporting AI SDLC maturity assessments, analysing current engineering practices,

Technical Tools
Other

 

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. 

 

Responsibilities

~1 min read

  • →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 

Requirements

~1 min read

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

 

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 

  • 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.) 

 

  • 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 

 

  • 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 

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!



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.

Location & Eligibility

Where is the job
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About this job

Posted
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Employer
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Listing Details

Posted
November 13, 2026
First seen
November 13, 2026
Last seen
November 13, 2026

Posting Health

Days active
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Trust Level
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Scored at
November 13, 2026

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AI Software Development Life Cycle (SDLC) Consultant