VP AI Engineering - Enterprise

Ladders

United States

Remote

USD 180,000 - 220,000

Full time

13 hours ago
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Benefits offered by this job

Remote work flexibility
Professional development opportunities
Access to cutting-edge AI technologies
Collaborative cross-functional teams
Work-life balance and employee well‑be

Job summary

Ladders is seeking a VP AI Engineering - Enterprise to join a leader in the Finance & Insurance space. You will shape the enterprise approach to data engineering and generative AI across core business functions, ensuring solutions are secure, scalable, and aligned with regulatory expectations.

The role partners with security, compliance, and functional leaders to deliver measurable business value from AI and data investments. Remote US-based; visa sponsorship not available.

Qualifications

  • 10+ years of engineering or enterprise technology experience
  • 5+ years in technical leadership
  • Strong hands-on understanding of LLMs, agentic AI, RAG, APIs, and workflow automation

Responsibilities

  • Define and lead the enterprise strategy for data and generative AI engineering
  • Oversee the design and operation of enterprise ETL/ELT platforms integrating legacy and modern systems
  • Establish governance for feature stores and AI-ready data products
  • Set direction for generative AI enablement and secure data consumption
  • Own the enterprise Snowflake strategy and its integration with cloud AI services
  • Lead cross-functional collaboration to meet security and regulatory requirements
  • Establish metrics to ensure data and AI engineering investments deliver business value

Skills

LLMs
agentic AI
RAG
APIs
workflow automation

Education

Bachelor's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field
Master's degree preferred

Tools

Snowflake
AWS
Azure

Job description

For our client, we are seeking a VP AI Engineering - Enterprise to join the team of a leader in the Finance & Insurance space.
This leader will shape the enterprise approach to data engineering and generative AI across core business functions, ensuring solutions are secure, scalable, and aligned with regulatory expectations. The role will guide the design of modern data platforms, AI enablement, and governance practices that support enterprise decision-making. You will partner closely with security, compliance, and functional leaders to deliver measurable business value from AI and data investments.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $180,000 – $220,000 annually

Responsibilities
  • Define and lead the enterprise strategy for data and generative AI engineering
  • Oversee the design and operation of enterprise ETL/ELT platforms integrating legacy and modern systems
  • Establish governance for feature stores and AI-ready data products
  • Set direction for generative AI enablement and secure data consumption
  • Own the enterprise Snowflake strategy and its integration with cloud AI services
  • Lead cross-functional collaboration to meet security and regulatory requirements
  • Establish metrics to ensure data and AI engineering investments deliver business value
Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field; Master's preferred
  • 10+ years of engineering or enterprise technology experience, with 5+ years in technical leadership
  • Strong hands-on understanding of LLMs, agentic AI, RAG, APIs, and workflow automation
  • Experience building AI solutions for corporate functions like HR, Marketing, Finance, or Legal
  • Proficient in managing enterprise SaaS or AI platforms at scale
  • Strong AWS and/or Azure knowledge, particularly in AI platform integration
  • Experience establishing AI governance and access controls
Benefits
  • Remote work flexibility
  • Opportunities for professional development and career advancement
  • Access to cutting-edge AI technologies and platforms
  • Collaborative work environment with cross-functional teams
  • Support for work-life balance and employee well-being

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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