Lead and manage a GenAI-focused engineering team, architect multi-cloud platforms, ensure agile delivery, engage stakeholders, and oversee system compliance.
The Principal AI Architect will own the end-to-end architecture of the Agentic AI Platform across all layers including Meta-Agent, Orchestration, Agent Runtime, Memory/State, Tools, RAG, and Model layer. They will also define the technical blueprint, reusable patterns, AWS-native design, and multi-account strategy that power every agent in the platform. Additionally, they will ensure the system is secure, scalable, well-governed, and aligned with enterprise standards for performance, reliability, and compliance.
Responsibilities
- Architect the full Agentic Platform across AWS, Bedrock, LangChain/LangGraph, RAG, and Lakehouse components.
- Define multi-step agent patterns (ReAct, planning, routing) and reusable architecture templates.
- Own Bedrock model selection, embeddings strategies, knowledge bases, and guardrails design.
- Design AWS foundations: VPC, Subnets, IAM, KMS, Secrets Manager, CloudTrail, Config.
- Lead Lakehouse architecture: Glue, Athena, Lake Formation, S3 lakehouse patterns.
- Enforce structured output schemas, prompt architecture, and cross-account separation.
- Provide architectural sign-off for all agent workflows, tools, and platform extensions.
- Ensure platform is scalable, observable, compliant, and optimized for cost and performance.
Qualifications
- Deep AWS architecture expertise.
- Proven experience building large-scale AI platforms.
- Expert-level agent design skills.
- Strong knowledge of AWS data stack.
- Ability to drive platform-wide standards.
- Demonstrated delivery in regulated industries.
Top Skills
AWS
Aws Batch
Azure
Celery
Eks
Fastapi
Kubernetes
Langchain
Langgraph
Llamaindex
Oauth2
Pinecone
Stonebranch
Terraform
Vault
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