Agentic AI Product Leader, AWS Professional Services

AWS Global Services includes experts who help customers design build operate and secure their cloud environments through AWS Professional Services Training and Certification Support and Managed Services and Security Assurance Services. Youll join a diverse team of technical experts in dozens of countries helping customers achieve more with AWS.

The Amazon Web Services Professional Services (ProServe) team is seeking an Agentic AI Product Leader to join as a Senior Consultant. You will combine deep product management expertise and end-to-end agentic solution delivery to lead customer teams through complex agentic solution development. You will own the product vision and roadmap for customer solutions working directly with AI/ML Specialists and technical teams to drive delivery.

You will work backwards from customer business outcomes to define product strategy lead technical product development and apply AWS frameworks like Well-Architected and Cloud Adoption Framework. As a technical product leader you will drive product discovery write PRDs and technical design documents facilitate feature prioritization and make data-driven trade-off decisions. You will coach customer product owners on Amazons agent development mechanisms while ensuring successful engagement outcomes.

Possessing strong product management and project delivery expertise you will lead solution planning sessions with stakeholders participate in agent architecture discussions decompose complex problems into deliverable agents and guide technology choices. You will proactively identify and manage risks facilitate decisions escalate when appropriate and manage overall engagement delivery. You will achieve relevant AWS certifications develop domain knowledge and communicate effectively to both engineering teams and business audiences.

The AWS Professional Services organization is a global team helping customers realize their desired business outcomes on AWS Cloud. We work with customer teams and the AWS Partner Network to execute enterprise cloud initiatives delivering focused guidance through global specialty practices across solutions technologies and industries.


Key job responsibilities
As an experienced technical product leader you will be responsible for:
Leading product vision and strategyfor customer solutions working backwards from business objectives to define product roadmaps requirements and success metrics
Driving technical product developmentwith AI/ML Specialist lead facilitating product discovery backlog prioritization feature definition and technical design decisions
Guiding technical implementationthrough architecture reviews technical trade-off decisions and application of AWS best practices and frameworks while maintaining credibility with engineering teams
Managing engagement deliveryend-to-end including project planning risk management stakeholder management budgets and delivery of business outcomes across multiple concurrent workstreams
Coaching customers on product best practices including Amazons product development mechanisms agile methodologies and data-driven decision making to build internal product capability
Making data-driven product decisionsto balance customer requirements technical feasibility resource constraints and project timelines while managing expectations across engineering and business stakeholders
Leading product planning activitiesincluding sprint planning backlog refinement retrospectives and roadmap reviews while ensuring quality security and performance standards are met
Enabling knowledge transfer and adoptionof AWS services through hands-on collaboration with development teams acting as a trusted technical advisor throughout the engagement lifecycle
This is a role for someone who has experience managing AI product development with opportunity to deliver innovation in a customer-facing professional services context.


A day in the life
As a Senior Consultant (Agentic AI Product Leader) at AWS Professional Services youll lead GenAI-powered product development for our enterprise customers while ensuring solution quality through AWS frameworks like Cloud Adoption Framework Well-Architected Framework and Global Delivery Framework. Your day involves defining product vision and roadmap with customer stakeholders leading product refinement sessions with development teams and making architectural and feature trade-off decisions. Youll balance hands-on product leadership with engagement management activities - from facilitating daily stand-ups and sprint planning sessions to conducting architecture reviews and writing product requirement documents.

Youll spend most of your time doing product management work with customer and internal AI/ML Specialist and ML Engineer teams driving feature prioritization decomposing complex requirements and guiding technical implementation decisions. Youll coach customers on product management best practices influencing customer stakeholders to drive the product vision and roadmap for how they build their solutions on AWS. You will lead complex engagements across diverse customers to define new capabilities through product and technical design documents facilitate backlog management and ensure delivery aligns with business outcomes and allocated budgets. You will have a high level of comfort with ambiguity a deeply analytical and product-oriented mindset with the ability to investigate complex technical and business challenges and can effectively influence across engineering and business organizations. You work backwards from the customer dive deep into data and technical details to understand the issues and drive product development to deliver collaboratively with customer teams and AWS specialists.


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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.


- 7 years of technical specialist design and architecture experience
- 5 years of database (eg. SQL NoSQL Hadoop Spark Kafka Kinesis) experience
- 7 years of consulting design and implementation of serverless distributed solutions experience
- 5 years of software development with object oriented language experience
- 3 years of cloud based solution (AWS or equivalent) system network and operating system experience
- 7 years of external or internal customer facing complex and large scale project management experience
- Bachelors degree or 7 years of professional or military experience

- Knowledge of AWS services including compute storage networking security databases machine learning and serverless technologies

Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.

IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.