Role overview
A Principal AI Engineering Architect is sought to lead the design and delivery of complex multi-domain systems spanning cloud, data, and AI. The role centers on production-grade multi-agent agentic AI solutions, serving as the senior technical voice on engagements while remaining hands-on across architecture, model development, and end-to-end delivery.
Responsibilities
- Define technical strategy and lead architectural design across cloud, data, and AI/ML systems from research through production scale
- Architect and ship production-grade multi-agent agentic AI systems including orchestration, tool use, memory, and inter-agent communication
- Design solutions using Amazon Bedrock AgentCore and complementary AWS GenAI services with a strong AWS-native bias
- Build scalable data architectures including warehouses, lakes, and pipelines for batch and streaming workloads
- Define infrastructure as code, CI/CD, and DevOps standards across engagements
- Lead design reviews, mentor experienced engineers, and drive stakeholder communication around complex AI tradeoffs
Requirements
- 10+ years in software engineering roles with at least 4 years focused on AI/ML systems in production
- Deep hands-on expertise designing and shipping production multi-agent agentic AI systems
- Extensive AWS experience including Bedrock AgentCore, with multi-cloud familiarity as a plus
- Strong background in microservices, serverless, containers, and event-driven systems such as Kubernetes and Lambda
- Proficiency with infrastructure as code and CI/CD including Terraform, CloudFormation, or GitHub Actions
- Mastery of AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalents, plus RAG pipeline expertise
Nice to have
- Multi-cloud architecture experience
- AI ethics or responsible AI experience
- Enterprise architecture certifications such as TOGAF or AWS/Azure/GCP credentials
Benefits and work setup
- Salary range of $180,375 to $230,625 USD