Position SummaryThis 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 DoSecurity, 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
AI Platform Architecture- 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
Agentic AI & Knowledge Systems- 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
Platform Integration & Automation- Design API-first architectures and workflow orchestration strategies
- Integrate AI capabilities with:
- Microsoft Copilot Studio
- Power Platform
- ServiceNow
- Archer
- eMASS
- Security and compliance tooling
Required QualificationsExperience- 10+ years of software, platform, or solution architecture experience
- 3+ years building production AI systems
- Experience leading architecture from concept through deployment
Technical Expertise- 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
Preferred- Archer, RegScale, eMASS, Xacta, or similar platforms
- Product strategy, enterprise architecture, or AI productization experience
