
location_on4330, Dickason Avenue, Dallas, Dallas County, Texas, 75219, United States
Do you want to set the standard for how builders architect AI workloads that are secure, reliable, and efficient on AWS? We are looking for a Principal Solutions Architect with deep expertise in Machine Learning, Generative AI, and Agentic AI to own and drive the strategic vision for Architectural Guidance Best Practices across AI workloads.
You will operate at the intersection of AI technologies and cloud architecture, ensuring AI workloads achieve Well-Architected outcomes across all six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. In this position, you will influence both internal AWS teams and the broader builder community by defining the long-term technical direction for AI architectural guidance. Your mission is to translate emerging AI/ML patterns into prescriptive and actionable best practices grounded in the Well-Architected pillars, while influencing AWS service design to better serve AI builders worldwide.
Your work will span from high-level strategy to hands-on validation. You will engage directly with strategic enterprise customers to validate guidance through real-world implementations and identify emerging architectural challenges. You will partner with stakeholders and engineers across AWS service teams (such as Amazon Bedrock, SageMaker, and Q) to represent the customer voice and influence product direction based on patterns observed in production AI workloads.
Beyond customer engagement, you will drive innovation in content delivery by owning the strategy for automation tooling and pipelines that accelerate the creation and publication of guidance at scale. You will also serve as the organization's principal technical authority, publishing whitepapers, presenting at major events like re:Invent, and mentoring senior architects to build a community of practice that scales AI/ML architectural expertise across the organization.
Work model: On-site
4330, Dickason Avenue, Dallas, Dallas County, Texas, 75219, United States
Dallas, Texas
Deep expertise in Generative AI architectures (large language models, foundation model hosting, RAG pipelines, vector databases, embedding strategies, prompt engineering). Hands-on experience with Agentic AI patterns (autonomous agents, multi-agent systems, tool-use architectures, planning/reasoning patterns, human-in-the-loop orchestration). Expert-level knowledge of AWS AI/ML services (Amazon Bedrock, Amazon SageMaker, Amazon Q, AWS Trainium/Inferentia, Amazon Kendra, Amazon OpenSearch). Experience defining or contributing to AWS Well-Architected Guidance or similar enterprise-scale architectural review guidance. Recognized thought leader with a strong publication record and conference speaking history (re:Invent, AWS Summits, industry architecture conferences). Experience with Infrastructure as Code (CDK, CloudFormation, Terraform) and CI/CD practices for ML pipelines (MLOps/LLMOps). Deep knowledge of responsible AI practices (fairness, explainability, safety guardrails, governance guidance, regulatory compliance). AWS certifications (Solutions Architect Professional, Generative AI, or equivalent). Demonstrated experience mentoring senior engineers and contributing to organizational hiring and talent development strategy.
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Skills: Machine Learning, Generative Ai, Agentic Ai, Foundation Models, Retrieval-Augmented Generation, Rag, Fine-Tuning, Prompt Engineering, Multi-Agent Orchestration, Responsible Ai.
Education: Bachelor's degree in computer science, engineering, mathematics or equivalent.