Principal AI Governance Architect

Posted 7 Days Ago
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Chicago, IL, USA
In-Office
190K-357K Annually
Senior level
Consulting
The Role
Lead design and implementation of AI security, governance, engineering, and observability controls. Define workload classification, prompt/embedding/retrieval/logging/retention patterns, audit evidence, identity/secrets/network controls, governed knowledge ingestion and retrieval, evaluation metrics, telemetry, dashboards, and automation. Partner with infrastructure teams, use AI tools hands-on, and help teams ensure models are safe, auditable, high-quality, and cost-effective.
Summary Generated by Built In

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. 
Join our team as the expert you are now and create your future.

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 LevelDirector

CountryUnited States of America

Skills Required

  • 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.
  • Experience with PHI, PII, client-confidential, regulated, or sensitive-data environments.

Huron Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Huron and has not been reviewed or approved by Huron.

  • Retirement Support Retirement programs include a company 401(k) match positioned as a core element of total rewards, signaling strong long‑term savings support. Company materials and filings describe a competitive match structure with broad availability.
  • Equity Value & Accessibility An employee stock purchase plan provides company‑matched RSUs on purchased shares and is broadly accessible across the workforce, indicating meaningful equity participation. Company filings outline the plan’s match design and wide eligibility.
  • Leave & Time Off Breadth Policies emphasize flexible/unlimited PTO, paid holidays, and parental leave with caregiving resources, reflecting expansive time‑off options. Careers and benefits pages present flexibility and time away as core components of the package.

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The Company
HQ: Chicago, IL
3,753 Employees
Year Founded: 2002

What We Do

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. By embracing diverse perspectives, encouraging new ideas and challenging the status quo, we create sustainable results for the organizations we serve.

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