Senior Cloud Security Automation & AI Engineer

New

Remote (Anywhere in the U.S.)Full-TimeSenior

Salary not disclosed

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Job Details

Bachelor's Degree (BS/BA) in a related field.
5-7 years of professional experience in designing, implementing, or securing AI/ML workloads in cloud environments.
Hands-on proficiency with Amazon Bedrock, Amazon Q, and Amazon SageMaker.
Basic Python competency for automation and integration tasks.
Understanding of agentic AI patterns, AI governance frameworks, and secure AI composition.
Experience in a client-facing consulting or professional services role.
Ability to travel up to 20% of the time.
Experience with Azure AI platforms (Azure AI Foundry, Copilot Studio) is preferred.
Knowledge of security frameworks such as NIST AI RMF, OWASP LLM Top 10, or ISO 42001 is highly preferred.
Relevant cloud certifications (AWS, Azure, or Google Cloud) are preferred.

Lead end-to-end delivery of cloud security automation and AI engagements, including scoping, architecture design, implementation, and client handoff.
Design and implement secure agentic AI solutions, including multi-agent orchestration, Model Context Protocol (MCP) integrations, AI gateway architectures, and policy-based access controls.
Architect and enforce AI governance policies, including usage policies, data handling controls, model access management, and compliance guardrails.
Develop and deploy AI-powered security automation solutions for clients, such as automated compliance checks and threat detection agents.
Provide technical oversight and quality assurance across active engagements.
Mentor and guide junior engineers on best practices for cloud security and AI/ML implementation.
Support presales activities, including client discovery, demos, and contributions to proposals and pricing estimates.
Contribute to practice development by building reusable tools, templates, and reference architectures.

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