AI Governance Portal Architect

• Design the target-state architecture for an AI governance platform unifying an agentic approval workflow with a real-time operational portal - covering intake, policy enforcement, agent lifecycle, observability, FinOps, and BU self-service layers
• Architect a continuous compliance mechanism that re-validates deployed AI agents on material changes, replacing the current one-time approval model
• Define the conversation forensics and tamper-evident audit trail architecture, ensuring compliance with telecom data privacy regulations including CPNI requirements
• Lead the agentic enrichment pipeline design - specifying the scope, data sources, SLAs, and HITL gate logic for agents that automate the approval workflow from 45-day manual cycles toward intelligent routing
• Architect the ROI and outcomes layer that ties agent operational cost to measurable business value, enabling BU-level accountability beyond cost tracking
• Drive platform capability sequencing - authoring a prioritized roadmap, making defensible build-vs.-buy decisions, and aligning cross-functional stakeholders including Legal, Compliance, Data, and Engineering teams
• Establish governance standards for prompt templates, knowledge base content, and model versioning within the platform''s agent registry
• Serve as the technical authority in client-facing architecture reviews, translating complex platform design decisions for both executive and engineering audiences

• 10+ years in enterprise technology architecture with 3+ years of hands-on experience building or leading GenAI, LLM, or agentic AI systems; prior experience designing or governing a responsible AI or model governance platform is required
• Deep knowledge of AI governance frameworks including NIST AI RMF, EU AI Act principles, and enterprise model risk management; ability to translate policy requirements into platform capabilities
• Demonstrated experience designing agentic AI architectures - including multi-agent orchestration, HITL gate design, confidence scoring, and audit trail instrumentation
• Proficiency in event-driven architecture (Kafka or equivalent), API design (REST/GraphQL), and data architecture for compliance use cases including immutable audit logs and multi-tenant data isolation
• Proven ability to operate in ambiguous, client-facing engagements - producing architecture decisions, sequenced roadmaps, and stakeholder alignment without a complete brief
• Experience in regulated industries (telecom, financial services, healthcare) with working knowledge of data privacy obligations relevant to AI systems

Technical Skills

Python · LangChain / LangGraph · React.js · Node.js · MongoDB · PostgreSQL · Apache Kafka · Vector DBs (Pinecone / Weaviate) · REST / GraphQL APIs · Docker / Kubernetes · AWS / Azure · NIST AI RMF · MLflow · Observability (Datadog / OpenTelemetry), * Experience architecting platforms for telecom clients with exposure to CPNI, FCC compliance, or equivalent regulated-data environments

• Familiarity with MemGPT, LangGraph, CrewAI, or similar agentic orchestration frameworks in production settings
• Track record of bridging research-grade experimentation and production-grade platform delivery within the same program
• TOGAF, AWS Solutions Architect, or equivalent enterprise architecture certification is a plus
• Experience building BU-level self-service sandbox environments within a governed multi-tenant AI platform