AI Quality Engineering Team Lead

Aviva; Warszawa; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Contract of employment

Performance Bonus

Private medical care

Cafeteria system

Baby leave

Shortened working time

Group insurance

Employee Shares Plan

Extra day off for birthday

Volunteer time off

Additional leave accrual

Wellbeing Leave

Psychological support

E-learning platforms

Employee referral program

Hybrid working Poland

Warsaw office location

Work Without Barriers

Diversity Charter

Job summary

Aviva Services Excellence Centre is seeking an AI Quality Engineering Team Lead to establish scalable testing for GenAI and agentic AI across Aviva solutions. You will combine hands-on evaluation with team leadership to ensure accuracy, safety and release readiness of AI systems.

You will connect business risk with data, evaluating prompts, models and tooling while building auditable findings and reusable evaluation components for multiple AI products.

Qualifications

• Proven experience in quality engineering for AI/ML systems.
• Hands-on evaluation of AI/LLM and agent-based apps.
• Strong Python skills and data analysis ability.
• Design repeatable evaluations and automation, not just tests.
• Good sampling, thresholds and non-deterministic system understanding.
• Experience with automated testing, version control and CI/CD.
• Ability to turn findings into business decisions for risk teams.
• Experience coaching engineers in new domains.
• Excellent communication and influencing skills.

Responsibilities

• Lead the quality engineering approach for AI solutions from risk assessment to release and monitoring.
• Evaluate multi-turn, RAG and agentic AI behaviour including grounding and guardrails.
• Build representative datasets and assess coverage, bias and freshness.
• Investigate correctness, relevance, safety, privacy and drift.
• Identify and resolve unexpected outcomes across data, prompts, models and retrieval.
• Develop reusable evaluation components and automated test pipelines.
• Align evaluators with human judgment and baselines.
• Use metrics and regression tests to support release decisions.
• Integrate evaluation into CI/CD and engineering workflows with traceability.
• Produce concise, auditable findings on confidence and residual risk.
• Collaborate with product, engineering, risk, compliance and data teams.
• Coach AI Quality Engineers and foster collaboration and learning.

Skills

AI QA

QA testing

Python

APIs

Logs

SQL

CI/CD

Data analysis

Leadership

Communication

Education

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.

In Aviva Services Excellence Centre, we provide:

• Contractofemployment
• Performance Bonus
• Private medicalcare(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-fundedgroupinsurance
• Employee Shares Plan
• Extra day off for birthday
• Paid time offtovolunteer
• 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
• Psychologicalsupportconsultations
• Access to thee-learningplatforms
• 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

Aviva is for everyone!

We’ve been ranked the #1 Best Workplace in Poland for a second year in a row and a top choice for Millennials by Great Place to Work!

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.

Most of our people are smart working – spending also time in our office - combining the benefits of flexibility, with time together with colleagues.

We’re inclusive - we welcome applications from people with diverse backgrounds and experiences.

Excited but not sure you tick every box? Research tells us that women, particularly, feel this way. So, regardless of gender, why not apply and try!