AI Solution Architect
Core
Design and implement scalable, secure, and resilient cloud-native GenAI/ML and Agentic architectures for enterprise customers, converting AI ambition into production-ready programs.
Role type
Senior IC AI Solution Architect (GenAI/ML & Agentic)
Builds
Cloud-native GenAI/ML and Agentic architectural patterns, reference architectures, and production environments for enterprise customers
Domain
Cloud computing, Generative AI, Machine Learning, Agentic workflows
Deliverable
production ML models
Required skills
Design and implementation of applications and infrastructures, Integration of LLMs and multi-modal FMs in large-scale systems, Fine-tuning LLMs, Deployment and distributed inference of LLMs, RAG implementation, Vector DB management, Agentic workflows design, Prompt and context engineering, MLOps, Hands-on experience with AWS ecosystems (Bedrock, AgentCore, SageMaker), Secure private-network AI environment setup, Semantic search optimization
Preferred skills
Leading complex projects with extensible and cost-optimized solutions, Determining solution strategy, Architecting AI systems in highly 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
Responsibilities
Manage technical relationships with customers and provide recommendations on security, cost, performance, and operational efficiency for GenAI/ML projects, Act as the voice of the customer to influence AWS roadmap for GenAI/ML and Agentic features, Create and share best practices, technical content, and reference architectures (white papers, code samples, blogs), Lead hands-on technical workshops and deep dives, Evangelize and educate on running GenAI/ML and Agentic workloads on AWS