Solutions Architect III, AGS MENAT Specialist Team

Are you passionate about Machine Learning Deep Learning and Artificial Intelligence Join AWS as a Generative AI and Machine Learning Specialist Solutions Architect in the MENAT region where youll drive cutting-edge AI initiatives and business transformation. As a Subject Matter Expert for designing machine learning solutions youll leverage AWS services to automate solutions and reduce costs for customers.

Youll partner closely with GenAI/ML specialist sales teams along with field teams to enable large-scale customer use cases and drive adoption of AWS GenAI/ML solutions. Your expertise will shape machine learning architectures develop technical assets and create field enablement materials that help other Solutions Architects integrate AWS GenAI/ML solutions into customer environments. This role offers an exciting opportunity to be at the forefront of GenAI innovation in a region implementing numerous transformative AI initiatives.

Key job responsibilities
- Design and architect scalable secure and innovative GenAI solutions that leverage AWS services to solve complex customer challenges and drive business transformation.
- Build and maintain technical trusted advisor relationships with influential technical decision makers for successful adoption and deployment of AWS GenAI/ML services and technologies.
- Evangelize current and future AWS GenAI and ML services through white papers blogs reference implementations and presentations to enable customers and partners.
- Capture and share best-practice knowledge amongst the AWS solutions architect community creating field enablement materials for the broader SA population.
- Work collaboratively with sales teams to create and execute business plans that accelerate AWS adoption exceed revenue goals and drive customer satisfaction with GenAI/ML solutions.

A day in the life
Your day begins with a technical deep dive with a customers AI team to understand their GenAI requirements and propose architecture solutions using Amazon Bedrock and SageMaker. Later youll collaborate with sales colleagues on business plans for driving AI adoption then spend time developing a reference architecture for a RAG solution that addresses common customer needs. You might finish by drafting a technical blog on implementing ML solutions or conducting a workshop to demonstrate AI capabilities to potential customers.

About the team
Youll join AWSs innovative team in the MENAT region where numerous AI initiatives are being driven. As part of the AGS MENAT Specialist organization youll work alongside talented technical professionals who are transforming how businesses leverage AI technologies. The team fosters an inclusive culture that values continuous learning and professional growth providing opportunities to collaborate on groundbreaking projects that shape the future of AI adoption across diverse industries in the region.

- - Bachelors degree or above in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science or Bachelors degree and 5 years of professional or military experience
- - 10 years of working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage experience
- - Experience building services using AWS products
- - Experience with large language models (LLMs) prompt engineering retrieval-augmented generation (RAG) fine-tuning and agentic workflows.
- - Proficiency in Python and experience with GenAI frameworks (LangChain LlamaIndex etc.) and model APIs.
- - Experience participating in the sales lifecycle (directly or indirectly) for GenAI solutions.
- - Experience in leading executive briefings and customer workshops focused on GenAI strategy use case development and prototype demonstrations.

- - Masters degree or above in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science or PhD
- - Experience prioritizing competing demands scoping large efforts and negotiating timelines
- - Experience with enterprise-scale infrastructure or development-based cloud programs/projects in a related industry
- - Experience conveying complex technical concepts to both technical and business audiences
- - Publications or presentations in recognized GenAI NLP or ML journals or conferences.
- - Hands-on experience architecting and deploying production GenAI solutions in secure or regulated environments.
- - Deep technical expertise with AWS GenAI services including Amazon Bedrock (Claude Llama Titan models) Amazon SageMaker JumpStart Amazon Q and related AWS services (Lambda Step Functions ECS/EKS API Gateway).
- - Experience with GenAI security patterns responsible AI practices and model governance.
- - Ability to collaborate with global/enterprise account sales and delivery teams to drive adoption of GenAI Solutions into top accounts.
- - Ability to think strategically about business product and technical problems in the GenAI space and develop strategic data-driven approaches.

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