# VP AI Engineering - Enterprise

**Company**: Sedgwick
**Work arrangement**: remote
**Experience**: executive
**Job type**: full-time
**Category**: Engineering
**Industry**: Insurance

**Apply**: https://sedgwick.wd1.myworkdayjobs.com/en-US/Sedgwick/job/Telecommuter-FL/VP-Gen-AI-Engineering_R79028?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a391897b-cd1

## Description

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.

The Vice President, Generative (Gen) AI Engineering Enterprise, provides executive leadership, strategic direction, and accountability for the enterprise data and AI engineering ecosystem that enables the organisation's most advanced analytics, data science, and generative AI initiatives.

**Key Responsibilities:**

- Defines and leads the enterprise strategy for data and generative AI engineering, establishing standards, roadmaps, and operating models that support analytics, machine learning, and AI at scale.

- Provides executive oversight for the design, delivery, and operation of enterprise ETL/ELT platforms that integrate legacy on-premise systems with modern cloud data and AI platforms.

- Establishes governance and accountability for feature stores, analytically optimised datasets, and AI-ready data products.

- Sets direction for generative AI enablement, including enterprise approaches for vectorisation, embeddings, retrieval-augmented generation (RAG), and secure consumption of structured and unstructured data.

- Owns the enterprise Snowflake strategy, including architectural patterns, performance standards, cost governance, and integration with cloud-based AI services.

- Leads cross-functional collaboration with Technology, Security, Infrastructure, Legal, Risk, and Compliance leaders to ensure data and AI engineering practices meet security, privacy, and regulatory requirements.

- Establishes executive-level operating metrics and financial discipline to ensure data and AI engineering investments deliver measurable business value and return on investment.

- Provides leadership and direction to engineering leaders and teams, setting priorities, removing organisational barriers, and ensuring consistent execution across portfolios and initiatives.

- Serves as a senior advisor to executive leadership on data, AI, and generative AI capabilities, risks, and opportunities.

- Drives organisational readiness by shaping talent strategy, capability development, and succession planning for data and AI engineering roles.

**Additional Responsibilities:**

- Lead AI engineering for enterprise functions including HR, Marketing, Finance, Legal, and other corporate functions.

- Identify and deliver high-value LLM, agentic AI, workflow automation, and knowledge-assistant use cases.

- Build reusable AI capabilities, agents, APIs, connectors, and workflow integrations.

- Own the enterprise administration and operational management of ChatGPT Enterprise and Claude.

- Manage user access, licenses, roles, permissions, workspaces, and enterprise configuration for these platforms.

- Establish and manage approved connectors and integrations to enterprise data and applications.

- Partner with Security, Privacy, Legal, and AI Governance to define appropriate access controls and data-use guardrails.

- Establish standards for enterprise use of GPTs, agents, projects, connectors, and other platform capabilities.

- Monitor adoption, utilisation, license consumption, token/API usage, and overall platform effectiveness.

- Partner closely with Finance and Procurement to manage AI platform spend, forecasting, chargeback/showback, license optimisation, and vendor commitments.

**Requirements:**

- Bachelor's degree in Computer Science, Data Engineering, Artificial Intelligence or a related field from an accredited college or university required. Master's Degree preferred.

- 10+ years of engineering, platform, or enterprise technology experience with 5+ years in technical leadership.

- Strong hands-on understanding of LLMs, agentic AI, RAG, APIs, workflow automation, and enterprise integration.

- Experience building AI solutions for corporate functions such as HR, Marketing, Finance, or Legal.

- Experience administering enterprise SaaS or AI platforms at significant organisational scale.

- Strong understanding of identity, SSO, RBAC, connectors, APIs, data permissions, and enterprise security.

## Skills

### Required
- LLMs
- agentic AI
- RAG
- APIs
- workflow automation
- enterprise integration
- Snowflake
- AWS
- Azure
- ChatGPT Enterprise
- Claude Enterprise

### Nice to have
- Microsoft Copilot

---

Source: [Apply at sedgwick.wd1.myworkdayjobs.com](https://sedgwick.wd1.myworkdayjobs.com/en-US/Sedgwick/job/Telecommuter-FL/VP-Gen-AI-Engineering_R79028?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)