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21 час назад

Director - Technology Risk Consulting - Artificial Intelligence and Emerging Technology (AI)

126 500 - 254 700$
Формат работы
onsite
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Director - Technology Risk Consulting - Artificial Intelligence and Emerging Technology (AI): Leading client advisory and delivery for AI and emerging-technology risk, including governance, secure architectures, control frameworks, and production oversight, with an accent on GenAI/ML adoption, enterprise risk management, and risk-by-design. Focus on architecting secure RAG solutions, evaluating cloud and MLOps practices, building audit-ready controls, and driving executive-level delivery and sales.

Location: Chicago, United States

Salary: $126,500–$254,700 per year, plus discretionary bonus eligibility.

Company

hirify.global provides professional services and technology risk consulting to middle-market clients globally.

What you will do

  • Advise executives and boards on AI and emerging-technology risks across governance, ethics, security, privacy, model risk, and operational resilience.
  • Lead GenAI and ML adoption decisions by translating business use cases into architectures, controls, and delivery roadmaps.
  • Design and operationalize AI and technology risk frameworks across the data, training, evaluation, deployment, monitoring, and change-management lifecycle.
  • Architect secure, scalable, and governable AI-enabled solutions, including GenAI and RAG patterns.
  • Evaluate SDLC and MLOps practices, including cloud landing zones, APIs, data pipelines, CI/CD, model registries, and deployment strategies.
  • Lead client engagements, delivery governance, team development, proposals, executive workshops, and follow-on sales opportunities.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Risk, or a related discipline, or equivalent practical experience.
  • 8–10+ years leading technology risk and/or AI engineering delivery in consulting or industry.
  • Experience owning large client programs and leading delivery across risk, data science, engineering, and security functions.
  • Job-relevant certifications, such as Azure, AWS, or AI certifications.
  • Strong knowledge of AI/ML, GenAI, LLMs, RAG, evaluation, safety, cloud and data architecture, SDLC, and MLOps/LLMOps.
  • Executive-level communication skills and the ability to translate engineering, risk, regulatory, and business requirements into implementable solutions.

Nice to have

  • Proven delivery sales experience, including pursuit shaping, solutioning, pricing input, and executive presentations.
  • Experience with IaC, observability, model registries, feature stores, and policy-as-code.

Culture & Benefits

  • Full-time employment with a competitive benefits and compensation package.
  • Flexible scheduling to help balance personal demands while serving clients.
  • Discretionary bonus based on firm and individual performance.
  • Equal-opportunity workplace with reasonable accommodation available during recruitment.

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