AmazonEngagement Manager, AWS Generative AI Innovation Center
Amazon is hiring an Engagement Manager, AWS Generative AI Innovation Center in Warsaw, Poland. Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- The posting mentions Bedrock and RAG among its tools and skills.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
We seek an Engagement Manager to lead Generative AI transformation projects. Engagement Managers drive AWS GenAI adoption, orchestrate customer engagements, and ensure successful delivery of cutting-edge AI solutions. Engagement Managers set up an effective work framework, proactively handle risks and communicate in an effective way with all stakeholders.
This role is focused on leading transformation projects with autonomy, often involving multiple Amazon and customer teams and needing to deliver measurable customer outcomes.
Key job responsibilities
• Lead GenAI transformation projects and strategic initiatives
• Develop and execute AI adoption strategies aligned with customer business outcomes
• Drive innovation through AWS Foundation Models, Amazon Bedrock, and custom LLM solutions
• Orchestrate cross-functional teams including AI/ML experts, solutions architects, and developers
• Identify and develop new business opportunities in GenAI space
Company discretionary, supplementary benefits apply subject to further terms, including pension plans, health insurance, life and disability insurance, business travel insurance, MultiSport card, employee discount code and program (EDC/Extras), commuter benefits where applicable, and the Employee Assistance Program (private and confidential counselling and referral service to support health and well-being).
The minimum base pay for this position is PLN 23,008 monthly.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Basic qualifications
- 5+ years of experience managing large-scale enterprise IT/AI projects using Agile (Scrum, SAFe) and traditional methodologies
- Experience managing one or more projects with a combination of 6+ resources, 5+ months, or $200k+ in contract value.
- Strategic thinking and innovation mindset
- PMP and CSM certifications or equivalent project management certification
- Strong understanding of AI/ML technologies and cloud computing platforms
- Experience in technology consulting or professional services
- • 5+ years of experience managing large-scale enterprise IT/AI projects using Agile (Scrum, SAFe) and traditional methodologies
- • Experience managing one or more projects with a combination of 6+ resources, 5+ months, or $200k+ in contract value.
- • Strategic thinking and innovation mindset
- • PMP and CSM certifications or equivalent project management certification
- • Strong understanding of AI/ML technologies and cloud computing platforms
Preferred qualifications
- Experience with GenAI technologies (LLMs, Foundation Models, RAG)
- Executive presence and stakeholder management abilities
- Ability to translate complex AI concepts for business audiences
- AWS certification
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The minimum gross base salary for this position is listed below. The base salary listed corresponds to working on a full-time basis. For part-time hours, the salary will be pro-rated.
Amazon reserves the right to offer a higher base salary, depending on the candidate's skills, competencies, and experience. Amazon's package may include a sign on payment. In addition, the candidate may be eligible to participate in a restricted stock unit scheme operated independently by Amazon.com Inc. in USA. Your recruiting team will share final salary and any restricted stock unit scheme if applicable, depending on skills and requirements.
Company supplementary benefits apply subject to further terms, including pension plans, health insurance, life and disability insurance, business travel insurance, MultiSport card, employee discount code and program (EDC/Extras), and the Employee Assistance Program (private and confidential counselling and referral service to support health and well-being).
See below the minimum gross base salary for this position:
Warsaw, POL - 18,141.67 PLN Monthly
How we rate this
Engagement Manager, AWS Generative AI Innovation Center at Amazon rates 17 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● 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
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Walk me through how you've used Bedrock in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: RAG and Bedrock. 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.
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