VP of Solutions Architect - AI
Core
Lead the design and delivery of complex, enterprise-grade generative and agentic AI systems built on Amazon Web Services, serving as a strategic technical advisor to clients.
Role type
VP of Solutions Architect - AI (AWS)
Builds
Scalable, secure, and production-ready AI platforms leveraging Amazon Bedrock, AgentCore, and AWS Strands Agents.
Domain
Cloud Architecture / Generative AI / Agentic Systems
Deliverable
production ML models
Required skills
Amazon Bedrock, Bedrock AgentCore, AWS Strands Agents, AWS AgentCore Gateway, RAG architecture, multi-agent orchestration, distributed systems, event-driven architectures, serverless patterns, Infrastructure as Code (CDK, CloudFormation, Terraform), Python, AWS SDKs, MLOps, model lifecycle management, observability, security controls (IAM, KMS, VPC, PrivateLink), compliance (SOC2, HIPAA, GDPR), cost optimization, hands-on prototyping, enterprise-scale AWS transformations.
Preferred skills
AWS Professional Certifications (Solutions Architect – Professional, DevOps Engineer – Professional), AWS Machine Learning – Specialty, AWS Security – Specialty, advanced agentic reasoning patterns (ReAct, CoT, Tree-of-Thoughts), secure multi-account AWS organizations (Control Tower), data engineering services (Glue, Redshift, Lake Formation), consulting or professional services background.
Technologies
Amazon Bedrock, Bedrock AgentCore, AWS Strands Agents, AgentCore Gateway, Lambda, Step Functions, API Gateway, DynamoDB, Aurora (pgvector), OpenSearch, SageMaker, CloudWatch, CloudTrail, AWS Config, Nova Forge, Nova 2 Sonic, Terraform, CloudFormation, CDK, Python, AWS SDKs.
Responsibilities
Serve as primary AWS AI architecture partner for strategic clients; lead architecture design using Amazon Bedrock and related services; design advanced RAG and multi-agent orchestration architectures; produce AWS reference architectures, ADRs, and implementation roadmaps; validate feasibility through hands-on prototyping in Python; ensure architectures follow AWS security best practices and cost optimization; own architectural integrity from concept through production; align solutions with AWS Well-Architected Framework pillars; guide clients through tradeoff decisions; accelerate time-to-value through reusable accelerators and IaC; provide architectural oversight to delivery teams; establish best practices for MLOps; define governance and responsible AI guardrails; mentor engineers on AWS AI service integration; partner with internal product, engineering, research, and customer success teams; support pre-sales engagements including architecture workshops and solution scoping.
Seniority
VP level, strategic leadership with hands-on architectural execution and team mentorship.
