Quality Engineering Practice Lead
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-09-13
Listing for:
Jobtailor
Full Time
position Listed on 2026-09-13
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), AI Business & Operations
Job Description & How to Apply Below
- Provide technical leadership and governance across modern Quality Engineering practices
- Act as senior technical authority for complex client engagements and significant Quality Engineering challenges
- Own and evolve the Quality Engineering capability strategy, roadmap and service portfolio
- Maintain relevant standards, methodologies, reference architectures and reusable assets
- Define viewpoints on emerging developments and identify capabilities for investment or market development
- Establish communities that share expertise and innovation
- Shape Quality Engineering opportunities through client conversations, discovery workshops, proposals and commercial solution design
- Remain hands-on and partially billable where required through direct client engagement
- Establish new Quality Engineering services and prove value in early-stage opportunities
- Develop differentiated, outcome-led Quality Engineering propositions and support account growth
- Advise clients, build trusted relationships and facilitate executive briefings, workshops and maturity assessments
- Strengthen market presence through conferences, webinars, round tables and thought‑leadership content
- Develop technical career paths, competency frameworks and future‑skills programmes
- Coach emerging leaders, develop subject matter experts and support talent attraction
- Foster knowledge sharing, experimentation, continuous professional development, technical excellence, curiosity and innovation
- Lead the approach to AI across Digital Assurance
- Identify practical applications of generative AI, machine learning and agentic AI
- Translate concepts into repeatable, commercially viable services and accelerators
- Shape approaches for testing, validating and monitoring AI systems
- Encourage disciplined experimentation that delivers measurable value
- Significant experience within software Quality Engineering, testing or Digital Assurance
- Strong technical understanding of modern test automation approaches, architectures and frameworks
- Strong knowledge of performance testing and performance engineering
- Experience with modern Agile, Dev Ops and CI/CD delivery models
- Experience defining Quality Engineering strategies, frameworks or technical standards
- Strong understanding of generative AI and related technologies in software engineering and Quality Engineering
- Practical understanding of opportunities, limitations and risks of AI‑enabled testing
- Understanding of testing and assuring AI‑based systems
- Demonstrable curiosity about emerging technology and its practical application
- Experience in consultancy, professional services, technology services or a similarly client‑facing environment
- Strong client‑facing communication and stakeholder‑management capability
- Experience shaping solutions during pre‑sales activities
- Experience contributing to proposals, bids, presentations or commercial solutions
- Ability to translate technical concepts into compelling business outcomes
- Confidence engaging with senior technology and business stakeholders
- Experience leading technical teams, capabilities, communities or practices
- Strong coaching, mentoring and people‑development skills
- Ability to influence across organisational boundaries without relying solely on formal authority
- Experience developing capability through others
- Ability to establish a clear technical vision and bring people with them
- AI Assurance, Responsible AI or AI governance
- Agentic AI or autonomous software engineering approaches
- AI/ML model validation and testing
- AI governance frameworks such as ISO/IEC 42001 or regulatory frameworks including the EU AI Act
- Building technical accelerators, frameworks, platforms or reusable intellectual property
- Conference speaking, publishing or recognised industry thought leadership
- Building or scaling an…
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