6 часов назад
Principal AI Governance Architect (AI)
190 000 - 265 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal AI Governance Architect (AI): Translating security, privacy, compliance, and architecture requirements into executable controls for AI workloads with an accent on governed knowledge systems, audit evidence, evaluation, and observability. Focus on designing identity, data segregation, retrieval-quality, telemetry, and approval patterns for secure, useful, auditable, and cost-effective AI applications.
Location: Chicago, United States; flexible living locations across the US; ability to travel as needed
Salary: $190,000–$265,000 USD base annually; total estimated compensation including annual incentive compensation: $237,000–$357,000 USD
Company
is a global consultancy helping clients drive strategic growth, innovation, and operational, digital, and cultural transformation.
What you will do
- Translate security, privacy, compliance, and architecture requirements into executable controls for AI workloads.
- Define workload classification, identity, secrets, network, sandbox, logging, retention, redaction, approval-gate, and client-data-segregation patterns.
- Establish governed knowledge patterns covering authoritative sources, ingestion, indexing, metadata, access control, freshness, citations, and retrieval evaluation.
- Define audit evidence for model access, data movement, retrieval, tool calls, approvals, exceptions, and operational events.
- Implement retrieval-quality metrics, model evaluations, regression checks, telemetry, dashboards, and operational reporting with infrastructure engineers.
- Use AI tools to accelerate governance engineering, policy mapping, knowledge analysis, evaluation design, documentation, and evidence review.
Requirements
- 8+ years of experience across cloud or platform security, governance engineering, security architecture, data engineering, observability, analytics engineering, ML evaluation, or AI application monitoring.
- Strong knowledge 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 turn policy, risk, quality, and observability requirements into practical engineering controls and metrics.
- Strong software, data engineering, automation, or analytics engineering skills, along with strong documentation and communication abilities.
- Must be able to live across the US and travel as needed.
Nice to have
- AI governance, model risk management, LLM application security, agent security, or AI data-protection experience.
- Experience with Amazon Bedrock, AWS IAM, CloudTrail, CloudWatch, PrivateLink, KMS, VPC design, OpenSearch, vector databases, BI tools, or observability platforms.
- Experience with LLM, prompt, or retrieval evaluation, golden datasets, regression testing, or AI quality frameworks.
- Experience with Temporal or similar workflow orchestration platforms and enterprise knowledge systems.
- Experience working with PHI, PII, client-confidential, regulated, or other sensitive data.
Culture & Benefits
- Full-time employment with participation in ’s annual incentive compensation program.
- Medical, dental, and vision coverage.
- Additional wellness programs and benefit plans.
- Flexible living locations across the US with travel as needed.
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