Remote AWS AI Lead Architect for Enterprise GenAI Security

SFE; United States; Remote; USD 190,000 - 270,000; Full time

Job summary

SFE is seeking an AWS AI Senior Tech Lead to drive delivery of AI agent capabilities in a remote, full-time capacity. You will shape cloud-native solutions, mentor teams, and ensure secure, scalable architectures for enterprise-grade AI platforms.

You will collaborate with security, data, and enterprise teams to align with client standards and deliver robust, observable systems with strong governance and risk controls.

Qualifications

• Bachelor's degree in CS/Engineering or related field required.
• 10+ years technology architecture experience preferred.
• Strong leadership and stakeholder communication skills required.
• Hands-on AWS experience with Bedrock, SageMaker, Lambda, Step Functions, and CI/CD tooling expected.

Responsibilities

• Lead the delivery of AI agent capabilities and platform components.
• Translate architecture into engineering designs and sprint plans.
• Guide teams on AI patterns, secure coding, and performance optimization.
• Build and review core components: agent orchestration, API layers, RAG services.
• Coordinate with architects, product owners, security SMEs, and QA for end-to-end quality.
• Establish best practices, coding standards, and reusable accelerators.
• Support environment readiness, deployment planning, and production readiness.

Skills

AWS Certified

Python

TypeScript/JS

REST APIs

Microservices

Event-driven

Containerized

Bedrock/SageMaker

Prompt engineering

Security practices

Leadership

Compliance & risk

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

IAM

CloudWatch

API Gateway

Job description

SFE is seeking an AWS AI Senior Tech Lead to drive delivery of AI agent capabilities in a remote, full-time capacity. You will shape cloud-native solutions, mentor teams, and ensure secure, scalable architectures for enterprise-grade AI platforms.

You will collaborate with security, data, and enterprise teams to align with client standards and deliver robust, observable systems with strong governance and risk controls.