Senior AI Infrastructure Engineer – Enterprise Cloud

GRAIL; Durham (NC); Hybrid; USD 147,000 - 224,000; Full time

Benefits offered by this job

Flexible work policy

Competitive benefits package

401(k) with employer match

Job summary

GRAIL is recruiting a Staff Software Development Engineer – Enterprise AI Infrastructure to lead the design, development, and scaling of a centralized AI platform built on AWS EKS. You will architect agentic workflows, secure integrations via MCP, and govern tool executions with IAM, OIDC, and Cedar-style policy controls.

This senior role mentors teams and aligns AI infrastructure with regulatory requirements.

Qualifications

• Bachelor's degree or equivalent in Computer Science, Software Engineering, AI, Cloud Computing, or related field.
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Responsibilities

• Lead end-to-end design, development, deployment, and monitoring of a scalable, governed enterprise AI platform.
• Design and implement agentic AI workflows and multi-agent systems.
• Architect and manage secure integrations using MCP for LLMs.
• Enforce secure, least-privilege tool execution with IAM, OAuth, JWT, and IdPs.
• Develop isolated, scalable containerized runtimes (Kubernetes pods on EKS).
• Establish audit trails and observability with AWS CloudTrail and OpenTelemetry.
• Collaborate with Product, Security, Regulatory, and stakeholders to translate requirements into scalable AI infrastructure.

Skills

AWS

Kubernetes

LangChain

LangGraph

AutoGen

Claude Agent SDK

MCP

OAuth

JWT

Okta

Auth0

Python

TypeScript

Go

Terraform

AWS CDK

Bedrock

OpenSearch

FAISS

pgvector

CI/CD

MLOps

Helm

OpenTelemetry

Education

Bachelor's degree in CS/SE/AI/Cloud Computing

Tools

AWS EKS

Kubernetes networking

VPC

Bedrock

OpenSearch Serverless

Job description

GRAIL is recruiting a Staff Software Development Engineer – Enterprise AI Infrastructure to lead the design, development, and scaling of a centralized AI platform built on AWS EKS. You will architect agentic workflows, secure integrations via MCP, and govern tool executions with IAM, OIDC, and Cedar-style policy controls.

This senior role mentors teams and aligns AI infrastructure with regulatory requirements.