AI Governance Portal Architect
Quick Overview
Job Description
AI Governance Portal Architect
Location: Irving, TX (Hybrid) or Remote
Experience: 12+ Years
Requirements:
- 12+ years of overall IT experience.
- Recent hands-on experience as an AI Governance Portal Architect is mandatory.
- Candidates must currently be in an Architect role with relevant AI Governance project experience.
Job Summary
We are looking for an experienced AI Governance Portal Architect to lead the design and architecture of an enterprise AI Governance Platform. The ideal candidate should have strong experience in AI/GenAI architecture, enterprise application design, AI governance, compliance, and cloud technologies.
The architect will work closely with engineering, legal, compliance, and business teams to build a secure, scalable, and compliant AI governance platform that manages the complete AI lifecycle.
Responsibilities
- Design and architect an enterprise AI Governance Portal.
- Build AI governance solutions covering AI model lifecycle, approvals, compliance, monitoring, and auditing.
- Define architecture for AI policy enforcement and continuous compliance.
- Design AI agent workflows and governance processes.
- Create scalable APIs and event-driven architectures.
- Work with cross-functional teams including Engineering, Legal, Compliance, Security, and Business.
- Build governance standards for AI models, prompts, and knowledge bases.
- Provide architecture guidance and technical leadership throughout the project.
- Prepare technical roadmaps and recommend build vs. buy solutions.
- Support client discussions and architecture reviews.
Required Skills
- 12+ years of IT experience with Enterprise Architecture.
- 3+ years of experience in GenAI, LLM, AI Governance, or Agentic AI.
- Strong understanding of AI Governance frameworks (NIST AI RMF, Responsible AI, Model Governance).
- Experience with AI/LLM frameworks like LangChain or LangGraph.
- Strong experience designing REST APIs and event-driven systems (Kafka).
- Experience with cloud platforms (AWS or Azure).
- Knowledge of Docker and Kubernetes.
- Strong database experience with MongoDB and PostgreSQL.
- Experience with Vector Databases such as Pinecone or Weaviate.
- Experience with observability tools like Datadog or OpenTelemetry.
- Excellent communication and client-facing skills.
Preferred Skills
- Telecom industry experience.
- Knowledge of CPNI or FCC compliance.
- Experience with CrewAI, LangGraph, MemGPT, or similar AI agent frameworks.
- TOGAF or AWS Solutions Architect certification.
- Experience building enterprise AI governance platforms.
Technical Stack
- Python
- LangChain / LangGraph
- React.js
- Node.js
- MongoDB
- PostgreSQL
- Apache Kafka
- Pinecone / Weaviate
- REST APIs / GraphQL
- Docker
- Kubernetes
- AWS / Azure
- MLflow
- Datadog
- OpenTelemetry
Nice to Have
- AI Governance Platforms
- Responsible AI
- Multi-Agent AI Systems
- Enterprise Architecture
- AI Compliance
- AI Risk Management
- AI Observability
- Telecom Domain
Ideal Candidate
- 12+ years of overall IT experience.
- Recent experience as an AI Architect, Enterprise Architect, Solution Architect, or Platform Architect.
- Hands-on experience with GenAI, LLMs, and AI Governance.
- Strong client-facing and architecture design experience.
- Experience working in regulated industries such as Telecom, Banking, Financial Services, or Healthcare.
Skills
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