Huron Consulting Group

Principal AI Governance Architect

Huron Consulting Group$190K — $265K *
US-AnywhereRemote in Chicago, IL
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of experience in cloud security, governance engineering, and AI application monitoring.
  • Strong understanding of identity, network controls, and audit trails.
  • Familiarity with retrieval-augmented generation and metadata governance.
  • Ability to translate policy and observability requirements into engineering controls.
  • Strong skills in software, data engineering, and automation.
  • Demonstrated practical use of AI tools for governance and analysis.
  • Excellent documentation and communication skills for standards and audit evidence.

Responsibilities

  • Translate security and compliance requirements into actionable controls for AI workloads.
  • Define and establish workload classifications and necessary controls.
  • Implement design patterns for data handling and client data segregation.
  • Create audit evidence patterns covering model interaction and operational events.
  • Design and establish patterns for security controls of AI applications and agents.
  • Develop governed knowledge patterns for data management and access control.
  • Partner with engineering teams to automate control and reporting processes.

Benefits

  • Flexible living locations across the US.
  • Opportunity for travel as needed.
  • Participation in Huron’s annual incentive compensation program.
  • Access to medical, dental, and vision coverage.
  • Inclusion in wellness programs.
Full Job Description
The AI Security, Governance, Engineering and Observability role will translate security, privacy, compliance, architecture, and business requirements into executable platform controls while also establishing the first patterns for Huron Knowledge enablement, evaluation, telemetry, dashboards, audit evidence, and operational reporting.


Key Responsibilities

  • Translate security, privacy, compliance, and architecture requirements into executable controls for AI workloads.
  • Define workload classification patterns and required controls for each class.
  • Establish prompt, response, embedding, retrieval, logging, retention, redaction, and client data segregation patterns in partnership with control functions.
  • Define audit evidence patterns for model access, data movement, retrieval, tool calls, approvals, exceptions, and operational events.
  • Design identity, secrets, network, sandbox, logging, and approval-gate patterns for AI applications and agents.
  • Build governed knowledge patterns for authoritative sources, ingestion, indexing, metadata, access control, freshness, citation, and retrieval evaluation.
  • Help select the first Huron Knowledge domain, source, or integration pattern for MVP validation.
  • Define and implement retrieval quality metrics, model evaluation patterns, regression checks, operational telemetry, dashboards, and quality reporting.
  • Partner with infrastructure engineers to implement controls, evidence, and reporting through automation rather than manual processes.
  • Help teams understand whether AI systems are producing useful, grounded, safe, auditable, and cost-effective outputs.
  • Use AI tools hands-on to accelerate control design, policy mapping, knowledge analysis, evaluation design, dashboard development, documentation, and evidence review.

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.

Preferred 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.

Flexible living locations across the US. Ability to travel as needed.

The estimated base salary for this job is $190,000 - $265,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $237,000 - $357,000 USD. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.


Position Level
Director


Country
United States of America

About Huron Consulting Group

Huron Consulting Group is a global management consulting firm offering services to the healthcare, higher education, life sciences, and commercial sectors. The company provides consulting, technology, and analytics solutions to drive operational and financial performance. Huron Consulting Group was founded in 2002 and is headquartered in Chicago, Illinois. The company is publicly traded on the NASDAQ stock exchange under the ticker symbol HURN.
Learn more about Huron Consulting Group
Size
4,609 employees
Market Cap
$1.4 billion
Industry
Net Income
-$23.8 million
Founded
2018
5 Year Trend
+3%
Revenue
$871 million
NASDAQ

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