Innovation Engineer- Remote (Anywhere in the U.S.)
Core
Design, implement, secure, and operationalize generative AI solutions (SaaS and local) for internal enterprise use, integrating data sources and ensuring compliance.
Role type
Senior IC Generative AI Engineer (Cloud Security)
Builds
Secure, scalable generative AI applications and data ingestion pipelines for internal teams
Domain
Cybersecurity / Generative AI / Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
AWS cloud engineering, Generative AI implementation, AWS security services (Guardrails, KMS, Secrets Manager), Enterprise AI services (Bedrock, SageMaker), Python, LLMs and prompt engineering, AI security (prompt injection, data poisoning, model extraction), Cloud security architecture
Preferred skills
Model fine-tuning, Infrastructure as Code (Terraform, CloudFormation), MLOps, Agentic AI architectures, MCP client/server architecture
Technologies
AWS (Bedrock, SageMaker, Lambda, S3, DynamoDB, IAM, CloudWatch), Python, Terraform, OpenTofu
Responsibilities
Design and deploy secure GenAI solutions using AWS SaaS and local resources; Build secure data connectors and ingestion pipelines for enterprise AI; Collaborate with InfoSec to implement IAM policies, encryption, and monitoring; Optimize AI solutions for performance, scalability, and cost; Create technical documentation and security guidelines; Develop educational materials for internal AI usage.
Seniority
Senior, hands-on IC