Senior AI Solution Architect
Core
Design and implement scalable, secure, and resilient GenAI/ML and Agentic technical architectures for enterprise customers, converting AI ambition into production-ready programs.
Role type
Senior hands-on IC AI Solution Architect (GenAI/ML & Agentic)
Builds
Cloud-native GenAI/ML and Agentic architectural patterns, reference architectures, and production AI systems
Domain
Cloud computing, Generative AI, Machine Learning, Agentic workflows
Deliverable
production ML models | product features
Required skills
Design/implementation of production AI systems, LLM/multi-modal FM integration, fine-tuning, distributed inference, RAG, Vector DBs, Agentic workflows, prompt/context engineering, MLOps, AWS ecosystem expertise (Bedrock, AgentCore, SageMaker), secure private-network AI environment setup, semantic search optimization
Preferred skills
Leading complex projects with extensible and cost-optimized outcomes, team leadership, solution strategy determination, running/fine-tuning LLMs with LoRA/QLoRA/RLHF, architecting in regulated environments
Technologies
AWS Bedrock, AWS AgentCore, AWS SageMaker, LLMs, Vector DBs, LoRA, QLoRA, RLHF
Responsibilities
Manage technical relationships with customers and act as a trusted advisor for GenAI/ML projects, define cloud-native architectural patterns for various use cases, create and share best practices and reference architectures (white papers, code samples), lead hands-on technical workshops and deep dives, serve as the voice of the customer to influence AWS roadmap
Seniority
Senior, hands-on IC