What are the responsibilities and job description for the Principal AI Platform Architect – Compliance Automation position at C2 Labs, Inc.?
Position Summary
C2 Labs is seeking a Principal AI Platform Architect to help design and deliver AI-powered solutions that improve operational efficiency, automation, and decision-making across regulated environments.
This role will lead the architecture and implementation of enterprise AI capabilities, including intelligent automation, knowledge systems, workflow orchestration, and platform integrations, while ensuring scalability, security, and governance.
What You'll Do
Security, Compliance & Governance
Required Qualifications
You'll have the opportunity to shape a first-of-its-kind AI-powered compliance platform that combines intelligent agents, enterprise knowledge systems, and automation to transform how organizations achieve and maintain compliance in highly regulated environments.
EEO STATEMENT:
We are an equal opportunity employer. All qualified applicants will be considered without discrimination based on race, color, religion, sex, national origin, age, disability, or protected veteran status. Employment offers will be contingent on passing a pre-employment drug screen.
C2 Labs is seeking a Principal AI Platform Architect to help design and deliver AI-powered solutions that improve operational efficiency, automation, and decision-making across regulated environments.
This role will lead the architecture and implementation of enterprise AI capabilities, including intelligent automation, knowledge systems, workflow orchestration, and platform integrations, while ensuring scalability, security, and governance.
What You'll Do
Security, Compliance & Governance
- Design secure AI architectures for regulated environments
- Implement AI governance and model security controls
- Support FedRAMP, RMF, CMMC, and government compliance requirements
- Develop reusable compliance intelligence and automation frameworks
- Define and evolve enterprise AI platform strategy
- Design scalable AI services, agent frameworks, and orchestration patterns
- Evaluate and integrate emerging AI technologies
- Establish AI governance, security, and architecture standards
- Design multi-agent systems and human-in-the-loop workflows
- Build enterprise copilots, digital workers, and AI-driven automation
- Architect Retrieval-Augmented Generation (RAG) solutions
- Design vector search, semantic retrieval, and knowledge architectures
- Integrate structured and unstructured enterprise data sources
- Design API-first architectures and workflow orchestration strategies
- Integrate AI capabilities with:
- Microsoft Copilot Studio
- Power Platform
- ServiceNow
- Archer
- eMASS
- Security and compliance tooling
- Enterprise GRC platforms
Required Qualifications
- 10 years of software, platform, or solution architecture experience
- 3 years building production AI systems
- Experience leading architecture from concept through deployment
- Agentic AI architectures
- RAG and vector databases
- LLM orchestration frameworks
- Cloud-native architectures
- Enterprise SaaS platforms
- API integrations and workflow orchestration
- OpenAI, Anthropic, Azure AI, AWS Bedrock, or Vertex AI
- FedRAMP, RMF, NIST 800-53, NIST 800-171, CMMC, or GovRAMP
- ServiceNow GRC, Archer, RegScale, eMASS, Xacta, or similar platforms
- Product strategy, enterprise architecture, or AI productization experience
You'll have the opportunity to shape a first-of-its-kind AI-powered compliance platform that combines intelligent agents, enterprise knowledge systems, and automation to transform how organizations achieve and maintain compliance in highly regulated environments.
EEO STATEMENT:
We are an equal opportunity employer. All qualified applicants will be considered without discrimination based on race, color, religion, sex, national origin, age, disability, or protected veteran status. Employment offers will be contingent on passing a pre-employment drug screen.