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.
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.
Continuously evaluate emerging AWS AI capabilities (Nova Forge, Nova 2 Sonic, Bedrock updates, and new AgentCore capabilities).

Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
7–10+ years of experience in software engineering or cloud architecture with deep AWS ownership.
Deep expertise in Amazon Bedrock, Bedrock AgentCore, AWS Strands Agents, AgentCore Gateway, and related AWS AI services.
Strong familiarity with SageMaker (training, deployment, pipelines), deep learning fundamentals, and model fine-tuning strategies.
Experience architecting RAG, multi-agent, and orchestration systems using AWS-native services.
Strong knowledge of distributed systems, event-driven architectures, and serverless patterns.
Proficiency with Infrastructure as Code (AWS CDK, CloudFormation, Terraform).
Hands-on development capability in Python and AWS SDKs.
Experience implementing observability and monitoring strategies in AWS environments.
Proven success leading enterprise-scale AWS transformations.
Exceptional communication skills for both technical and executive audiences.
AWS Professional Certifications highly preferred (AWS Solutions Architect – Professional, AWS DevOps Engineer – Professional).

Solutions Architect – AI

Key skills