Responsibilities
- Help design and deliver AI-powered solutions that improve operational efficiency, automation, and decision‑making across regulated environments
- Lead the architecture and implementation of enterprise AI capabilities
- 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
- Design API‑first architectures and workflow orchestration strategies
- Integrate AI capabilities with Microsoft Copilot Studio, Power Platform, ServiceNow, Archer, eMASS, and Security and compliance tooling.
Requirements
- 10+ years of software, platform, or solution architecture experience
- 3+ years building production AI systems
- Experience leading architecture from concept through deployment
- LLM orchestration frameworks
- Cloud‑native architectures
- Enterprise SaaS platforms
- API integrations and workflow orchestration
- OpenAI, Anthropic, Azure AI, AWS Bedrock, or Vertex AI
- Preferred: 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.
ATS Optimization Keywords
Hard Skills
- compliance intelligence frameworks
- cloud‑native architecture
- LLM orchestration frameworks
Soft Skills
Certifications & Qualifications
Industry Keywords
Tools & Technologies
- Security and compliance tooling