AI QA Lead - Agentic AI - QA Automation - Investment Management/Private Equity - Fully Remote
Posted Today by We Are Orbis Group Ltd
Negotiable
Outside
Remote
Remote
Summary: The AI QA Lead will oversee QA automation efforts for a major Investment Management client, focusing on an AI transformation program across various investment platforms. This role requires a strong background in QA leadership and experience with agentic AI systems and automation tooling. The position is fully remote and offers a contract outside of IR35 regulations. The ideal candidate will have relevant experience in Investment Management or related fields.
Key Responsibilities:
- Lead QA change initiatives across large organizations or complex technology environments.
- Build agentic AI systems, QA agents, and AI testing frameworks for software testing.
- Design scalable automation frameworks and enhance automated testing integration into the SDLC.
- Collaborate with developers, engineering teams, product owners, and senior stakeholders to elevate QA standards.
- Utilize modern QA automation tools such as Python, Playwright, Cypress, and Selenium.
- Assess current QA processes to identify opportunities for AI and automation improvements.
- Manage stakeholder relationships across technical, business, and leadership teams.
- Support AI transformation and GenAI initiatives within engineering programs.
Key Skills:
- Strong QA/Quality Engineering leadership background.
- Experience with agentic AI systems and QA automation tooling.
- Proven test automation experience.
- Familiarity with Investment Management, Asset Management, and related environments.
- Strong stakeholder management and leadership capabilities.
- Hands-on experience with modern QA automation tools.
- Ability to assess and improve QA processes using AI and automation.
- Experience in supporting AI transformation initiatives.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
AI QA Lead - Agentic AI - QA Automation - Investment Management/Private Equity experience requirement for an urgent start. The AI QA Lead - Agentic AI - QA Automation - Investment Management/Private Equity will be working for a major Investment Management client, supporting a major AI transformation programme across Asset Management, Wealth, Private Credit, Private Equity and investment platforms.
AI QA Lead - Agentic AI - QA Automation - Investment Management/Private Equity Key Skills:
- Strong QA/Quality Engineering leadership background, with experience driving QA change across large organisations or complex technology environments
- Proven experience building agentic AI systems, QA agents, AI testing frameworks or AI-led automation tooling for software testing and quality engineering
- Strong test automation experience, including designing scalable automation frameworks and improving how automated testing is Embedded into the SDLC
- Experience working closely with developers, engineering teams, product owners and senior stakeholders to improve engineering culture and raise QA standards
- Hands-on or leadership experience across modern QA automation tooling such as Python, Playwright, Cypress, Selenium or similar technologies
- Experience working within Investment Management, Asset Management, Private Equity, Private Credit, Wealth Management or fund/investment platform environments
- Ability to assess current QA processes and identify where AI, automation and tooling can reduce manual testing effort and improve release quality
- Strong stakeholder management and leadership capability, able to work across technical, business and senior leadership teams
- Comfortable operating as a senior QA AI lead rather than a pure manual testing or QA execution resource
- Experience supporting AI transformation, GenAI initiatives, agentic workflows or AI-enabled engineering programmes would be highly beneficial
AI QA Lead - Agentic AI - QA Automation - Investment Management/Private Equity - Contract - Outside IR35 - Fully Remote - 12 Months