2 months ago
Mexico City, MexicoSenior
Responsibilities
- Develop and maintain strategic relationships with technical decision-makers around enterprise AI/ML and generative AI architectures.
- Design scalable, secure, cost-effective, and production-grade AI solutions using AWS cloud infrastructure.
- Conduct executive-level discovery sessions and translate customer requirements into technical architectures.
- Lead customer proof-of-concept implementations for AI solutions.
- Create technical content, reference architectures, and demonstrations for advanced AI implementations.
- Collaborate across teams and foster knowledge-sharing and best practices within the AWS AI/ML community.
- Guide customers in responsible AI frameworks, governance, compliance, and sustainable production deployments.
Requirements
- Bachelor’s degree in a relevant field or equivalent work experience.
- 7+ years of cloud architecture and solution implementation experience.
- 3+ years of experience designing, implementing, or consulting on Data and Core AI/ML, deep learning, GenAI/LLMs, RAG systems and architecture, Agentic AI, and autonomous systems.
- Experience designing, leading, and implementing AI solution proofs of concept with customers.
- English-language written and verbal communication skills.
- Deep technical experience with large language model customization and fine-tuning, inference optimization, agentic frameworks, GenAIOps/AgentOps, security, RAG optimization, vector stores, and prompt engineering.
- Preferred knowledge of data structures, data modeling, and database schema.
- Preferred experience communicating with technical and non-technical audiences, including executive stakeholders and clients.
- Preferred experience working with end-user or developer communities.
- Preferred proficiency with GenAI and agentic AI frameworks such as Amazon Bedrock AgentCore, Strands Agents, and Kiro.
- AWS Certified Generative AI Developer - Professional certification or a similar certification from another cloud provider is preferred.
Benefits
- AWS promotes inclusive team culture through employee-led affinity groups and learning events.
- Mentorship, knowledge-sharing, and career-advancement resources are available.
- AWS supports work-life harmony and workplace flexibility.
- Workplace accommodations and application or onboarding support are available for candidates with disabilities.
Tech Stack
Categories
Solutions Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.