AI Solution Architect
Core
Designing and delivering scalable, resilient technical architectures for GenAI/ML and Agentic workloads, acting as a trusted advisor to customers on cloud adoption.
Role type
Senior IC AI Solution Architect (GenAI/ML & Agentic)
Builds
Cloud-native GenAI/ML and Agentic architectural patterns, production AI systems, and reference architectures for enterprise customers.
Domain
Cloud computing, Generative AI, Machine Learning, Agentic workflows
Deliverable
production ML models | product features
Required skills
Designing distributed applications, managing enterprise customer relationships, designing production AI systems, integrating LLMs and multi-modal FMs, fine-tuning LLMs, distributed inference, RAG implementation, vector database management, prompt and context engineering, MLOps, AWS ecosystem expertise (Bedrock, AgentCore, SageMaker), secure private-network AI environment setup, embedding and semantic search optimization, technical leadership, mentorship, content creation (whitepapers, blogs, workshops), public speaking.
Preferred skills
Cloud Technology Certification, leading complex projects with cost-optimized outcomes, leading team or organization-wide initiatives, determining solution strategy, architecting AI systems in regulated environments, running and fine-tuning Large and Small Language Models using LoRA/QLoRA, Instruction Tuning, and RLHF.
Technologies
AWS Bedrock, AWS AgentCore, AWS SageMaker, LLMs, multi-modal FMs, Vector DBs, LoRA, QLoRA, RLHF
Responsibilities
Craft scalable technical architectures for complex customer challenges, guide customers in refactoring applications or designing new cloud systems, capture customer feedback to influence AWS roadmap, produce technical content and reference architectures, lead hands-on technical workshops and deep dives, evangelize GenAI/ML workloads through public speaking and events.
Seniority
Senior, hands-on IC with strategic influence