Principal AI Governance Architect
Huron Consulting Group2 hours ago
Remote, United States or Chicago, IL, USAStaff+
Base Salary
$190k - $265k/yr
Responsibilities
- Translate security, privacy, compliance, and architecture requirements into executable controls for AI workloads.
- Define workload classification patterns and controls for each workload class.
- Establish prompt, response, embedding, retrieval, logging, retention, redaction, and client-data-segregation patterns.
- Design identity, secrets, network, sandbox, logging, and approval-gate patterns for AI applications and agents.
- Define audit evidence patterns covering model access, data movement, retrieval, tool calls, approvals, exceptions, and operational events.
- Build governed knowledge patterns for authoritative sources, ingestion, indexing, metadata, access control, freshness, citation, and retrieval evaluation.
- Select an initial Huron Knowledge domain, source, or integration pattern for MVP validation.
- Implement retrieval-quality metrics, model-evaluation patterns, regression checks, operational telemetry, dashboards, and quality reporting.
- Partner with infrastructure engineers to automate controls, evidence capture, and reporting.
- Use AI tools to accelerate control design, policy mapping, knowledge analysis, evaluation design, dashboard development, documentation, and evidence review.
- Help teams assess whether AI systems produce useful, grounded, safe, auditable, and cost-effective outputs.
Requirements
- At least 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 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.
- Preferred experience with AI governance, model risk management, LLM application security, agent security, or AI data protection.
- Preferred experience with Amazon Bedrock, AWS IAM, CloudTrail, CloudWatch, PrivateLink, KMS, VPC design, OpenSearch, vector databases, BI tools, or observability platforms.
- Preferred experience with LLM evaluation, prompt evaluation, retrieval evaluation, golden datasets, regression testing, or AI quality frameworks.
- Preferred experience with Temporal or comparable workflow orchestration platforms.
- Preferred experience with enterprise knowledge systems, document repositories, metadata governance, search relevance, or permission-aware retrieval.
- Preferred experience with PHI, PII, client-confidential, regulated, or sensitive-data environments.
- Ability to travel as needed.
Benefits
- Flexible living locations across the United States.
- Eligibility for Huron’s annual incentive compensation program.
- Medical, dental, and vision coverage and other wellness programs.
- Travel as needed may be required.
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