Solutions Architect - AI

Key Responsibilities

Client Engagement & AWS Solutions Architecture

• Serve as the primary AWS AI architecture partner for strategic clients, driving generative and agentic AI system design from discovery through production.
• Lead architecture design using Amazon Bedrock (including foundation models and custom models), Bedrock AgentCore, AWS Strands Agents, and AWS AgentCore Gateway.
• Design advanced RAG, Agentic RAG, and multi-agent orchestration architectures leveraging AWS-native services such as Lambda, Step Functions, API Gateway, DynamoDB, Aurora (pgvector), and OpenSearch.
• Produce AWS reference architectures, architecture decision records (ADRs), and implementation roadmaps aligned to business objectives.
• Validate feasibility through hands-on prototyping in Python using Bedrock SDKs, SageMaker, and serverless services.
• Ensure architectures follow AWS security best practices (IAM, KMS, VPC, PrivateLink) and cost optimization principles.

Outcome Ownership & Business Impact

• Own architectural integrity from concept through production deployment on AWS.
• Align solutions with AWS Well-Architected Framework pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.
• Guide clients through tradeoff decisions across model selection (Bedrock FMs vs custom SageMaker models), latency, cost, governance, and compliance.
• Accelerate time-to-value through reusable AWS accelerators, Infrastructure as Code, and deployment frameworks.