VP of Solutions Architect - AI

Job summary

Rob*** is seeking a seasoned AWS AI Solutions Architect to lead the design and delivery of complex, enterprise-grade generative and agentic AI systems built on Amazon Web Services.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent experience.
• 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
• into AWS-native solution architectures.

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 (CloudFormation/Terraform/CDK), and CI/CD automation.

Skills

Degrees

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