3 days ago
Manchester, United Kingdom +2 moreMid Level
Responsibilities
- Support AI SDLC maturity assessments by analyzing engineering practices, toolchains, and delivery metrics.
- Design AI-enabled ways of working for developers, testers, and product teams.
- Evaluate AI development and testing tools against client requirements, security, and cost considerations.
- Plan and run pilots and proofs of value, including success measures and scale-up recommendations.
- Define productivity and quality measures such as DORA metrics, cycle time, defect rates, and developer experience.
- Design governance and guardrails covering secure coding, code review, intellectual property, licensing, data privacy, and responsible AI.
- Apply AI to legacy modernization, including code comprehension, documentation, and migration.
- Develop adoption roadmaps, change plans, training, and communities of practice.
- Monitor emerging AI engineering tools and agentic development practices and share insights with clients and colleagues.
- Build consensus and influence engineering teams, technology leaders, practitioners, and executives.
Requirements
- Hands-on experience in software engineering, DevOps, platform engineering, or quality engineering, or experience advising on engineering transformation.
- Practical experience using AI coding assistants or agentic development tools and understanding of their strengths and limitations.
- Understanding of modern software development practices including Agile, DevOps, CI/CD, and DevSecOps.
- Familiarity with large language models and AI agents, including prompting, context management, and output evaluation.
- Interest in emerging technologies such as agentic AI, multi-agent systems, Cloud Native, and Platform Engineering.
- Ability to connect engineering-practice changes to business outcomes such as speed to market, quality, and cost.
- Experience or exposure to engineering performance or developer productivity measurement.
- Ability to explain complex technical topics to non-technical stakeholders.
- Proven stakeholder management, communication, influencing, and consensus-building skills.
- Comfort working with engineering teams and technology leaders.
Benefits
- Private medical insurance.
- Three additional days of leave per year for charitable work.
- Competitive basic salary is mentioned, but no amount is provided.
- Locations are London, Manchester, and Edinburgh, with up to 100% mobility and onsite time required with clients and partners.
Categories
Solutions Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.