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Accenture

Advises businesses and runs their technology

AI Software Development Life Cycle Consultant

Technology & Systems ConsultingPosted on Nov 13
Full-timeNo salary listed

About the Job

Requirements

  • Hands-on experience in software engineering, DevOps, platform engineering, or quality engineering, or experience advising on engineering transformation, with interest in applying it to AI-enabled delivery.
  • Practical experience using AI coding assistants or agentic development tools and understanding of their strengths and limitations.
  • Understanding of the modern software development lifecycle and practices such as Agile, DevOps, continuous integration and continuous delivery, and DevSecOps.
  • Familiarity with how large language models and AI agents work in practice, including prompting, context management, and evaluating outputs.
  • Ability to connect changes in engineering practice to business outcomes such as speed to market, quality, and cost.
  • Ability to simplify and explain complex technical topics to non-technical stakeholders.
  • Ability to work across teams and build consensus in high-pressure situations.
  • Comfort working with engineering teams and technology leaders, building credibility with practitioners and executives.
  • Proven stakeholder management and communication skills used to influence and persuade client stakeholders.

Responsibilities

  • Support AI software development lifecycle maturity assessments by analysing current engineering practices, toolchains, and delivery metrics to identify where AI can add value.
  • Support the design of AI-enabled engineering ways of working, including how developers, testers, and product teams work alongside AI coding assistants and agents.
  • Support the evaluation and selection of AI development tools, including GitHub Copilot, Cursor, Claude Code, Amazon Q Developer, and AI-driven testing platforms, against client requirements, security, and cost.
  • Help plan and run pilots and proofs of value, define success measures, and capture results to inform scale-up decisions.
  • Support the definition and baselining of productivity and quality measures, including DORA metrics, cycle time, defect rates, and developer experience, and the value cases built on them.
  • Support the design of governance and guardrails for AI-assisted development, covering secure coding, code review, intellectual property and licensing, data privacy, and responsible AI.
  • Support the application of AI to legacy modernisation, including code comprehension, documentation, and migration.
  • Support the development of adoption roadmaps and change plans, including engineer enablement, training, and communities of practice.
  • Stay abreast of developments in AI engineering, including new tools, agentic development patterns, and emerging practices, and share insights with clients and the team.

Desired Qualifications

  • Curiosity and interest in exploring emerging technologies such as agentic AI, multi-agent systems, cloud-native technologies, and platform engineering.
  • Exposure to measuring engineering performance or developer productivity.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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