About the role
AI GRC Platform Engineer
Temporary Contract Role / Contract (1099)
Pay Range: $75/hr
Location: Remote
Position Summary
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.
Key Roles & Responsibilities
1. AI Platform Development & Integration
Design, build, and maintain AI-enabled internal platforms, tools, and integrations supporting
cybersecurity compliance operations, client delivery, sales operations, reporting, and
governance workflows.
2. Workflow Automation & Operational Efficiency
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.
3. GRC Systems Architecture
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.
4. AI Prompt Engineering & Agent Development
Create and optimize AI prompts, agent workflows, retrieval systems, and contextual knowledge
structures to support operational and client-facing use cases.
5. Data & Reporting Solutions
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.
6. Security, Privacy & Compliance Alignment
Ensure AI solutions align with organizational security requirements, confidentiality expectations,
data governance standards, and applicable compliance obligations.
7. Cross-Functional Collaboration
Partner with leadership, operations, PMO, HR, sales, compliance, and technical teams to
identify opportunities for AI-driven improvement and operational modernization.
Required Qualifications
● 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
Preferred Qualifications
● 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
Non-Negotiable Requirements
● 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
Originally posted on Himalayas