AI GRC Platform Enginner

RSI Security • ,

3d • Remote

About The Position

RSI Security is seeking an experienced and forward-thinking AI GRC Platform Engineer to design, develop, integrate, and optimize AI-driven governance, risk, and compliance (GRC) solutions across the organization. This role will focus on operationalizing artificial intelligence, workflow automation, and data-driven decision-making within cybersecurity, compliance, audit, and client delivery environments.

The ideal candidate will possess a strong blend of software engineering, AI/LLM integration, cybersecurity compliance knowledge, and operational process automation experience. This individual will play a key role in developing scalable internal tools, intelligent workflows, reporting systems, compliance automation capabilities, and AI-powered operational efficiencies that support RSI’s cybersecurity and compliance service offerings.

This position requires someone who can bridge the gap between technical development, business operations, compliance frameworks, and AI-enabled automation.

Requirements

• 5+ years of experience in software engineering, automation engineering, systems integration, or platform development
• Demonstrated experience with AI/LLM platforms such as OpenAI/ChatGPT, Gemini, Claude, or similar technologies
• Experience building AI-assisted workflows, automations, or agent-based systems
• Strong understanding of APIs, integrations, data pipelines, and workflow orchestration
• Experience with scripting or programming languages such as Python, JavaScript, TypeScript, or similar
• Familiarity with cybersecurity and compliance frameworks including one or more of the following: CMMC, NIST 800-171 / 800-53, ISO 27001, SOC 2, PCI DSS, FedRAMP
• Experience integrating enterprise platforms such as HubSpot, Monday.com, Jira, Slack, Google Workspace, or similar systems
• Strong problem-solving, systems-thinking, and process optimization mindset
• Excellent communication and documentation skills
• Proven hands-on AI implementation experience
• Ability to independently design and operationalize automation solutions
• Strong understanding of security and confidentiality expectations
• Ability to work cross-functionally with both technical and non-technical stakeholders
• Strong written communication and process documentation skills
• Demonstrated ability to move from concept to implementation rapidly
• Must be comfortable operating in a fast-paced and evolving environment

Nice To Haves

• Experience building AI copilots, retrieval augmented generation (RAG) systems, or AI agents
• Familiarity with vector databases, embeddings, and knowledge management systems
• Experience working within cybersecurity consulting, compliance, SaaS, or managed services environments
• Understanding of governance, risk, and compliance operational models
• Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, or similar cloud AI ecosystems
• Familiarity with prompt evaluation, AI governance, and AI risk management concepts

Responsibilities

• Design, build, and maintain AI-enabled internal platforms, tools, and integrations supporting cybersecurity compliance operations, client delivery, sales operations, reporting, and governance workflows.
• Develop intelligent automation solutions leveraging platforms such as ChatGPT, Gemini, Claude, APIs, workflow orchestration tools, and low-code/no-code automation systems to improve operational scalability and reduce manual effort.
• Assist in the design and enhancement of GRC workflows related to frameworks such as CMMC, NIST, ISO 27001, SOC 2, PCI DSS, FedRAMP, and related cybersecurity compliance initiatives.
• Create and optimize AI prompts, agent workflows, retrieval systems, and contextual knowledge structures to support operational and client-facing use cases.
• Develop dashboards, reporting tools, analytics workflows, and AI-assisted insights using operational data from systems such as HubSpot, Monday.com, Ninety.io, Jira, and other enterprise platforms.
• Ensure AI solutions align with organizational security requirements, confidentiality expectations, data governance standards, and applicable compliance obligations.
• Partner with leadership, operations, PMO, HR, sales, compliance, and technical teams to identify opportunities for AI-driven improvement and operational modernization.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed