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4 дня назад

VP, Enterprise Technology & Agentic Experience (Business Applications)

214 700 - 361 906$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
c_level
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
VP, Enterprise Technology & Agentic Experience (Business Applications) (Enterprise AI and Business Applications): Leading financial systems, people technology, and enterprise AI teams while building secure agentic infrastructure and autonomous workflows across Finance, HR, and Customer Success with an accent on enterprise architecture, governance, and AI-assisted engineering. Focus on designing LLM gateways, MCP integrations, tool-calling frameworks, RAG pipelines, and production-grade security and access controls.

Location: US-based remote; periodic domestic travel of typically 10–20% for executive offsites, team strategy summits, vendor meetings, and corporate events. In-person interview attendance is required.

Base salary for US-based employees: $214,700–$361,906 USD; benefits and compensation vary by employment location and employment nature. The role may also include a corporate bonus plan or role-specific commission and potential equity participation.

Company

hirify.global provides an AI-powered identity security platform for human and non-human identities, focused on securing complex enterprise environments.

What you will do

  • Lead Financial Systems, People Technology, and Enterprise AI Lab teams within a federated co-build IT operating model.
  • Partner with Finance, People/HR, and Customer Success/Post-Sales leaders to identify operational friction and automate cross-system workflows.
  • Design and govern enterprise AI infrastructure, including LLM gateways, Model Context Protocol integrations, tool-calling frameworks, and RAG pipelines.
  • Deploy autonomous digital coworkers and agentic solutions with enterprise-grade security, RBAC, data privacy, and human-in-the-loop review.
  • Champion AI-assisted engineering practices using tools such as Cursor and Claude Code.
  • Own the enterprise technology roadmap, governance, operating metrics, and ROI benchmarks for automation and agentic initiatives.

Requirements

  • 15+ years of progressive leadership experience in enterprise technology, business applications, IT transformation, and software engineering.
  • Proven leadership of enterprise application portfolios across HR, including Workday; Finance, including ERP/NetSuite; CRM/Post-Sales, including Salesforce; and cloud data warehouses, including Snowflake and BigQuery.
  • Hands-on expertise in enterprise AI architecture, including LLM orchestration, Model Context Protocol, RAG pipelines, and agent frameworks.
  • Fluency with AI development tooling such as Cursor and Claude Code, Python-based AI/ML libraries including scikit-learn, pandas, and numpy, PyTorch, AWS Bedrock, and GCP Vertex AI.
  • Demonstrated success implementing federated IT operating models, platform engineering, or cross-functional fusion teams with governance, security, and access controls.
  • Strong executive presence and ability to build trusted advisory relationships with C-suite stakeholders and non-technical business partners.
  • Bachelor’s degree in a related technical or business field, or equivalent professional experience.

Nice to have

  • Master’s degree or MBA.

Culture & Benefits

  • Federated co-build operating model connecting IT with business domain teams.
  • Product-minded, AI-first engineering culture with structured upskilling and enablement.
  • Medical, dental, vision, disability, life, and supplemental insurance options.
  • 401(k) plan with company matching, flexible vacation, eight paid holidays, sick leave, and paid parental leave.
  • Flexible spending accounts, HSA with employer contribution, employee assistance services, and voluntary legal, critical illness, accident, hospital indemnity, and pet insurance options.

Hiring process

  • In-person interview attendance is required during the selection process.

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