Senior Agentic AI & Automation Engineer
Procter & Gamble is hiring a Senior Agentic AI & Automation Engineer. Level rates it ; you can apply on Procter & Gamble.
Level's read on this job
- Builds AI ●●●● is how Level rates this role: the job is building AI systems.
- Tools and skills the posting cites include Python, AWS and Azure.
- Level classifies it as a senior role.
- Level lists 853 other open roles at Procter & Gamble.
AI in this role
Design and build agentic AI and automated solutions for enterprise sustainability intelligence.
Job Location
WARSAW PLANT & GOJob Description
Build AI that helps P&G turn sustainability ambition into measurable action. Join P&G’s Sustainability (ESG) Services organization — the trusted data and intelligence foundation helping P&G reduce its environmental footprint, enable more sustainable product and consumer choices, and scale impact through innovation. You’ll apply agentic AI, automation, data engineering, and cloud technology to some of P&G’s most meaningful sustainability challenges, taking ideas from experimentation to secure, reusable solutions used across a global enterprise.
What you’ll do — and the impact you’ll help create
- Design, prototype, build, and scale AI- and automation-enabled solutions that turn sustainability data into faster insights, predictions, decisions, and actions.
- Apply agentic AI, predictive analytics, and intelligent workflows to challenges across climate, water, packaging and waste, nature, product life-cycle impacts, and sustainability reporting.
- Help P&G move from retrospective sustainability reporting toward proactive intelligence—identifying anomalies, improving data quality, anticipating issues, and supporting better environmental decisions earlier.
- Build trusted data models, features, quality controls, ETL/ELT pipelines, APIs, and distributed processing that strengthen the foundation for auditable ESG reporting and compliance.
- Experiment with emerging AI models and technologies and turn the best ideas into secure, responsible, production-ready capabilities that can be reused across sustainability teams.
- Develop high-quality, tested, standards-compliant code and contribute reusable components, tools, and engineering practices that accelerate innovation at scale.
- Deploy and operate cloud-native solutions using modern DevOps, CI/CD, automation, and responsible engineering practices.
- Partner with sustainability experts, product teams, data professionals, architects, and engineers to embed trusted sustainability intelligence directly into the workflows where P&G makes product, operational, and business decisions.
Job Qualifications
- Strong foundations in software engineering, AI/ML, data engineering, automation, or cloud engineering, with the ability to turn complex and ambiguous problems into practical solutions.
- Hands-on programming experience and a commitment to clean, maintainable, well-tested code.
- Experience with modern data platforms, pipelines, APIs, cloud services, and DevOps/CI/CD practices.
- Curiosity about generative and agentic AI, analytics, automation, and emerging technologies, paired with an experimentation mindset and focus on responsible, scalable adoption.
- Strong problem-solving and collaboration skills, with the ability to connect technology possibilities to meaningful business and sustainability outcomes.
- A passion for continuous learning and an interest in using technology to address environmental challenges. Prior ESG experience is welcome but not required.
Why P&G Sustainability?
At P&G, sustainability is integrated into how we design and deliver superior products. Our strategy focuses on reducing the footprint of our own operations and supply chain, helping consumers reduce their impact through better product and packaging choices, and scaling solutions through partnerships and innovation. ESG Services makes that strategy actionable by turning trusted sustainability data into intelligence decisions at scale.
This is technology work with visible purpose. ESG Services supports P&G’s progress across climate, waste, water, nature, sustainable packaging, product life-cycle impact, Ambition 2030, and trusted external reporting. The organization is increasingly applying AI to move beyond reporting toward prediction, optimization, natural-language experiences, automated data quality, and AI-assisted engineering. In this role, you can help shape that transformation—building the intelligent capabilities that enable P&G teams to make sustainability considerations part of everyday decisions and translate data into measurable environmental and business impact, designs and delivers superior products. Sustainability Services provides the trusted data, insights, platforms, and intelligent capabilities that help P&G reduce its operational footprint, enable more sustainable product and consumer choices, support external reporting and regulatory requirements, and scale sustainability solutions through innovation. AI is already being applied across Sustainability Services. This role offers the opportunity to help move that work from experimentation to reusable, governed, production-scale capabilities—combining meaningful purpose with modern engineering challenges.
What we offer
- Work in an international team with global responsibilities (and Data Science & AI Engineering teams co-located in Warsaw)
- Industry Certifications (e.g. DevOps, Professional Scrum Master, Azure Fundamental, SAFe Agilist and many others)
- Competitive salary and benefits program (private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sports cards, in-office fitness center)
- Internal coaching programs & training
- Flexible working arrangements
- A long-term career with development and growth opportunities
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.
At P&G #weseeequal
We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work.
We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click here if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience.
Kindly be advised that at P&G, employment is exclusively extended on the basis of "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.
Job Schedule
Full timeJob Number
R000158565Job Segmentation
Experienced ProfessionalsHow we rate this
Senior Agentic AI & Automation Engineer at Procter & Gamble rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where agentic ai was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
- Tell me about a project where devops was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Agentic AI, Machine learning, Data Engineering, Cloud Computing, and DevOps. 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.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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