Senior AI Engineer for QA and SDLC

Procter & Gamble is hiring a Senior AI Engineer for QA and SDLC. Level rates it ; you can apply on Procter & Gamble.

Level's read on this job

Level rates this AI engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include prompt engineering, AI agents and AI automation.
Level classifies it as a senior role.
Level lists 841 other open roles at Procter & Gamble.
The role was posted in the last few days.

AI in this role

prompt-engineeringai-agentsai-automation

Job Location

WARSAW PLANT & GO

Job Description

As the Senior AI Engineer for QA and SDLC at P&G, you will lead the transformation of software quality assurrance across critical IT products and transformations around Digital Marketing and Commerce.

You will define and build the next generation of quality engineering capabilities by combining AI engineering, agentic automation, intelligent testing, DevOps, software engineering, and product management.

You will explore and implement AI agents and automation capabilities that improve how software is validated, released, monitored, and continuously optimized. Your work will help teams move from manual and reactive testing toward AI-enabled, continuously learning quality engineering.

You will operate at the center of a large-scale P&G transformation, partnering with engineering, architecture, product, and DevOps teams. The role offers an opportunity to work with cutting-edge technologies, shape enterprise-wide engineering standards, and establish reusable AI capabilities that can improve software quality at scale as well as speed to market.

Job Responsibilities

Lead AI-driven quality transformation

Define and execute the vision and roadmap for AI-enabled Quality Engineering across IT products and platforms.
Transform traditional quality assurance into a proactive, automated, and engineering-led discipline embedded throughout the software development lifecycle.
Identify high-value opportunities for AI agents, generative AI, machine learning, and intelligent automation to improve test design, execution, analysis, and defect prevention.
Collaborate with P&G Horizontal DevOps and QA Communities of Practice to apply best practices and contribute to company wide practices and tools.

Build agentic QA capabilities

Re-apply, design and implement AI-assisted and agentic capabilities for QA activities across SDLC - in particular: orchestration for test scope definition, test execution, test data generation, regression impact assessment, release readiness evaluation.

Engineer automation at scale

Define and lead implementation of scalable test-automation strategies covering functional, integration, API, performance, security, accessibility, and end-to-end testing.
Lead the modernization of test frameworks and integrate automated quality controls directly into CI/CD pipelines.
Reduce manual testing through risk-based automation, intelligent test selection, reusable frameworks, and self-service engineering capabilities.
Drive quality earlier in the lifecycle through shift-left practices, automated design validation, contract testing, static analysis, and continuous verification.

Lead people and capability development

Lead team of quality engineers and automation specialists to execute the QA transformation and support product roadmaps inline with business priorities.

Job Qualifications

Demonstrated experience defining and implementing quality-engineering strategies for complex enterprise applications and platforms.
Software-engineering background, including practical programming experience in one or more languages such as Python, Java, C#, JavaScript, or TypeScript.
Nice to have: Experience designing and implementing test-automation frameworks using technologies such as Playwright, Cypress, Selenium, pytest, JUnit, NUnit, or comparable tools.
Strong understanding of AI engineering concepts, including generative AI, large language models, prompt engineering, tool-enabled agents, evaluation methods, and AI application lifecycle management.
Experience applying AI or intelligent automation to software engineering, testing, DevOps, operations, or adjacent enterprise processes.
Practical knowledge of DevOps practices, including CI/CD, infrastructure as code, automated deployment, environment management, observability, and production monitoring.
Experience with functional, API, integration, end-to-end, performance, security, accessibility, and user-acceptance testing.
Understanding of modern application architecture, including APIs, microservices, event-driven systems, cloud-native platforms, and distributed systems.
Strong product-management mindset and the ability to translate business outcomes into technical capabilities, quality requirements, and measurable engineering priorities.
Excellent analytical, problem-solving, communication, and decision-making skills.

We offer

P&G-sized projects and access to world leading IT partners and technologies from Day 1.
Wide range of self-development possibilities (training and certifications paths).
Competitive starting salary and benefits program (private health care, P&G stock, saving plans, sport cards).
Regular salary increases and possible promotions - in line with your results and performance.
Opportunity to change role every few years to be in the best place for you and best for P&G.

At Procter & Gamble we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication.

Watch this video to learn more about our full recruiting process: https://www.youtube.com/watch?v=0bicvbpy0gI

Kindly be advised that at P&G, employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.

About us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.

Job Schedule

Full time

Job Number

R000152695

Job Segmentation

Experienced Professionals

How we rate this

Senior AI Engineer for QA and SDLC at Procter & Gamble rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior AI Engineer for QA and SDLC is an open job at Procter & Gamble.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in WARSAW PLANT & GO.
The job was posted on October 27, 2026.
Seniority: senior.
Applications are handled by Procter & Gamble. Apply on Procter & Gamble

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringAI agentsAI Automation

Also common in AI engineer jobs at this level

AWS SQL RAG Azure Snowflake Google Cloud

Pay

Typical AI engineer job: $184k

This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a workflow you automated with AI tools, end to end.
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: Prompt engineering, AI agents, and AI Automation. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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