Principal AI Engineering Architect

robotsandpencils

United States

Remote

USD 180,000 - 231,000

Full time

14 days+

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Job summary

robotsandpencils seeks a Principal AI Engineering Architect to lead the design and delivery of complex multi-domain AI systems spanning cloud, data, and AI. You will guide production-grade multi-agent agentic AI solutions, serving as the senior technical voice while remaining hands-on in architecture, model development, and end-to-end delivery.

The role emphasizes cloud-native design, AWS Bedrock AgentCore, and multi-cloud familiarity, with strong experience in microservices, serverless,

Qualifications

  • 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

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

Skills

Multi-agent AI
AWS Bedrock
Kubernetes
CI/CD
Terraform
LangChain
LangGraph
CrewAI
RAG pipelines

Tools

Terraform
CloudFormation
GitHub Actions
Kubernetes

Job description

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
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