Join an award-winning, internationally recognised organisation as a Software Delivery & QA Manager, leading the structured delivery and quality governance of Generative AI solutions powering next-generation legal, finance, and HR intelligence. You will take ownership of delivery execution, AI model evaluation, and release oversight for cutting-edge AI products operating at scale.
This role sits at the intersection of engineering execution, AI model evaluation, and release governance. You’ll ensure every AI release is dependable, rigorously evaluated, and drives an exceptional, next-generation experience for users.
Reporting to the Director of Generative AI, you’ll combine disciplined delivery leadership with QA oversight and AI performance evaluation, translating strategy into coordinated execution and turning metrics into clear, structured release decisions. The role will focus upon:
Lead end-to-end delivery cycles for Generative AI initiatives, from planning through deployment and iteration.
Own release cadence, milestones, dependencies, and cross-team alignment in engineering-led environments.
Oversee QA and AI model evaluation to ensure outputs meet standards for accuracy, robustness, and reliability.
Interpret performance metrics and evaluation results to assess release readiness.
Maintain dashboards, define KPIs and thresholds, and use SQL or equivalent BI tools to validate insights.
Translate quality and performance signals into structured go/no-go recommendations and clear stakeholder reporting.
Ensure releases are controlled, evidence-based, and aligned with regulatory expectations where required.Required Experience
Demonstrable end-to-end delivery ownership in engineering-led environments, with direct accountability for releases and deployment cycles.
Proven ability to define release readiness, manage delivery risks, and coordinate cross-functional stakeholders.
Strong QA and AI evaluation experience, with the ability to translate metrics into actionable decisions.
Advanced data fluency, including SQL, BI tools, dashboards, or statistical analysis.This is a rare opportunity to take ownership of delivery and AI quality governance across a fast-scaling suite of generative AI products used by real customers at scale. You’ll work directly with senior AI and engineering leaders, influencing how performance, evaluation, and release decisions are defined at a strategic level. For the right individual, this represents an exceptional career move – combining high visibility, meaningful ownership, and long-term impact within a market-leading organisation investing heavily in AI innovation.
INDAMS
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