Principal AI Governance Architect
Huron Consulting Group3 months 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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About Huron Consulting Group
Huron Consulting Group is a global professional services firm that provides strategy, operations, digital, and technology consulting to healthcare, higher education, life sciences, and commercial organizations. Revenue comes from advisory and implementation engagements, including cloud transformations on platforms such as Workday, Salesforce, and Oracle, and software like the Huron Research Suite for universities. Founded in 2002 and headquartered in Chicago, it is a public company listed on NASDAQ.