AI Quality Engineering Team Lead

Aviva plc; Warszawa; Hybrid; PLN 260,000 - 380,000; Full time

Benefits offered by this job

Private medical care

Performance Bonus

Group insurance

Employee Shares Plan

Hybrid working model

Job summary

Aviva plc is hiring an AI Quality Engineering Team Lead in Poland. You will lead the quality engineering strategy for GenAI and agentic AI solutions, combining hands-on evaluation with team leadership to ensure accuracy, safety, reliability and auditable findings for release decisions.

You will partner with product, engineering, data, risk and compliance teams, shaping reusable evaluation patterns and integrating testing into CI/CD workflows with traceability across datasets, prompts, models and

Qualifications

• Several years of professional quality engineering experience in AI/ML or software testing.
• Hands‑on evaluating AI/Large Language Models and agent‑based systems.
• Ability to turn technical findings into decision‑quality evidence for stakeholders.

Responsibilities

• Lead the AI quality engineering approach from risk assessment to release and monitoring.
• Evaluate multi-turn, RAG and agentic AI behaviour including guardrails and tool use.
• Build reusable evaluation components, automation, and reporting patterns for AI products.

Skills

Python

APIs

CI/CD

Quality engineering

Data analysis

Stakeholder comms

QA testing

Tools

DeepEval

Arize

Job description

Hi, we're glad you're here! We are hiring to our Aviva Services Excellence Centre! Take a look at our job description - maybe it suits you or one of your friends? We are looking for an AI Quality Engineering Team Lead to help establish trustworthy, scalable quality engineering for GenAI and agentic AI solutions at Aviva. You will combine hands‑on evaluation with team leadership, helping stakeholders understand whether AI solutions are accurate, safe, reliable and ready for release. This is a role for someone who can connect business risk with datasets, AI behaviour, evaluation metrics and engineering controls. You will shape reusable quality practices, challenge weak evidence and guide engineers in producing clear, auditable findings.

What will you be doing? Leading the quality engineering approach for AI solutions, from risk assessment through release and monitoring. Evaluating multi‑turn, RAG and agentic AI behaviour, including grounding, guardrails and tool use. Building representative datasets and assessing coverage, balance, leakage, label quality and freshness. Assessing correctness, relevance, hallucination, safety, bias, privacy and behavioural drift. Investigating unexpected outcomes across data, prompts, models, retrieval, integration, orchestration and evaluators. Building reusable evaluation components, automated test pipelines, reporting and evidence‑generation patterns for multiple AI products. Combining test methods and validating automated evaluators against human judgement. Using baselines, key metrics and risk‑based regression tests to support release decisions. Integrating evaluation into CI/CD, observability and engineering workflows with traceability across datasets, prompts, models and metrics. Producing concise, auditable findings that explain confidence, uncertainty, customer impact and residual risk. Partnering with product, engineering, architecture, data, risk, compliance and quality stakeholders to influence delivery and release decisions. Coaching and guiding AI Quality Engineers, planning team work, reviewing outputs and building a collaborative culture of constructive challenge and learning.

What we're looking for? Several years of relevant professional experience in quality engineering, software testing, software engineering, data science or a related technical field. Hands‑on experience evaluating AI, large language model, RAG or agent‑based applications. Practical Python skills and experience with APIs, logs, traces, structured datasets and SQL or similar analysis. Ability to design repeatable evaluations and automation, not just manual testing or vendor scoring. Good understanding of sampling, thresholds, trends and non‑deterministic system behaviour. Experience with automated testing, version control, CI/CD and maintainable engineering practices. Ability to turn technical findings into decision‑quality evidence for business, risk and engineering stakeholders. Experience coaching or leading engineers in an emerging or ambiguous domain. Strong communication and influencing skills, with the confidence to challenge weak evidence.

Nice to have? Experience leading projects, coordinating technical workstreams or managing people. Experience with AI evaluation or observability tools such as DeepEval, Arize or similar platforms. Experience designing shared frameworks, reusable services or platform capabilities. Knowledge of responsible AI, model risk, controls, privacy or customer‑outcome requirements. Experience in financial services, insurance or another regulated industry. Exposure to cloud AI systems, observability and production support.

Benefits

• Contract of employment Performance Bonus Private medical care (ENEL-MED) Cafeteria system of benefits (e.g. MultiSport card)
• Additional parent privileges: - baby leave – 6 weeks leave for second parent
• shortened working time after parental leave
• Employer‑funded group insurance
• Employee Shares Plan Extra day off for birthday Paid time off to volunteer Additional leave acquired over the years in the company (even 5 days more in a year)
• Wellbeing Leave - additional two weeks paid leave after 10 years of service
• Psychological support consultations
• Access to the e‑learning platforms
• Internal employee referral program
• Hybrid working model from Poland with a few days in Warsaw office per month
• Attractive office location in Warsaw - Gdański Business Center
• Additional entitlements for people with disabilities - Work Without Barriers
• Work environment that promotes diversity - Diversity Charter

Diversity & Inclusion

As a signatory to the Diversity Charter, Aviva applies a policy of equal treatment and creates a work environment that is friendly to people with disabilities. We do not require from candidates the date of birth, marital status and attached photos to your CV. We encourage all individuals regardless of gender to apply. We’re inclusive - we welcome applications from people with diverse backgrounds and experiences.

We help our 19.5 million customers to save for the future and manage the risks of everyday life. To give these customers the best possible products and service we know we must make Aviva the most attractive choice for talented, entrepreneurial people with diverse backgrounds and an evolving range of expertise and insight. So, we’re passionate about helping our 23,000 people to do the best work of their lives, to enable them to make a positive difference to the lives of our customers.