Principal AI Governance Architect
$190,000–$265,000 year
On-siteChicago, Illinois, United States
Job Summary
Translate security, privacy, compliance, and architecture requirements into executable platform controls for AI workloads, defining workload classification patterns and establishing prompt, response, and retrieval logging standards. Design identity, secrets, network, and approval-gate patterns for AI applications while building governed knowledge patterns for authoritative sources and citation retrieval. Define audit evidence patterns for model access and operational events, then partner with infrastructure engineers to implement these controls through automation rather than manual processes. Help teams evaluate whether AI systems produce useful, grounded, safe, and cost-effective outputs using hands-on AI tools to accelerate control design, policy mapping, and dashboard development.
Required Qualifications
- 8+ years of experience across cloud security, platform security, governance engineering, security architecture, data engineering, observability, analytics engineering, ML evaluation, or AI application monitoring
- Strong understanding of identity, network controls, secrets management, logging, audit trails, data classification, least-privilege design, and evidence capture
- Familiarity with retrieval-augmented generation, embeddings, vector stores, metadata, indexing, citation, access control, and knowledge-source quality
- Ability to translate policy, risk, quality, and observability requirements into practical engineering controls and metrics
- Strong software, data engineering, automation, or analytics engineering skills
- Demonstrated ability to use AI tools as a practical system-building accelerator for governance engineering, analysis, dashboard development, evaluation, documentation, or control review
- Strong documentation and communication skills for control standards, decision records, dashboards, exception patterns, and audit evidence
- Flexible living locations across the US
- Ability to travel as needed
Desired Qualifications
- Experience with AI governance, model risk management, LLM application security, agent security, or data protection for AI systems
- Experience with Amazon Bedrock, AWS IAM, CloudTrail, CloudWatch, PrivateLink, KMS, VPC design, OpenSearch, vector databases, BI tools, or observability platforms
- Experience with LLM evaluation, prompt evaluation, retrieval evaluation, golden datasets, regression testing, or AI quality frameworks
- Experience with Temporal or comparable workflow orchestration platforms for approval flows, evidence capture, evaluation workflows, or operational reporting
- Experience with enterprise knowledge systems, document repositories, metadata governance, search relevance, or permission-aware retrieval
- Experience with PHI, PII, client-confidential, regulated, or sensitive-data environments
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.