Lead Forward Deployed Engineer - Applied AI (Claude Enterprise)

Excerpt from the original posting

About V2 AI
V2 AI is a leading AI-Native consultancy backed by $30m in VC funding, allowing us to meet our customers' needs. We harness the power of AI to accelerate business outcomes for some of the world's largest brands.
We bring decades of experience and a unique delivery model to partner with our customers on the most complex problems for immense, measurable impact.
Our Services
- AI Strategy & Governance
- AI Enablement
- Applied AI
- Data & AI Security

About the Role 
We're looking for an experienced Lead Forward Deployed Engineer – Applied AI to lead the technical implementation of Claude Enterprise for a major enterprise customer within the financial services and asset management sector.
As a Lead, you'll take ownership of technical delivery, working closely with customer stakeholders to drive the successful rollout and adoption of Claude Enterprise, with a strong focus on Claude Cowork, enterprise workflows and AI-powered productivity.
This is a hands-on technical leadership role where you'll help shape solution architecture, navigate complex enterprise environments and guide engineers to deliver secure, scalable AI solutions that drive measurable business outcomes.
You'll bring strong experience in financial services and asset management, with an understanding of industry workflows, regulatory requirements and enterprise technology environments.

Responsibilities 
- Lead the technical implementation of Claude Enterprise within a complex enterprise environment.
- Lead the design and implementation of Claude Cowork solutions, enabling intelligent workflow automation and AI-powered productivity across business functions.
- Work closely with customer stakeholders, translating business challenges into scalable AI solutions.
- Contribute to technical architecture, integration patterns and engineering best practices for enterprise-wide Claude adoption.
- Lead the integration of Claude Enterprise with existing enterprise systems, applications, data sources and business workflows.
- Provide hands-on technical leadership, solving complex engineering challenges and guiding teams through implementation and deployment.
- Ensure solutions meet enterprise security, data privacy, governance and regulatory requirements, particularly within financial services.
- Identify and prioritise high-value AI use cases across asset management and financial services, driving measurable business outcomes.
- Collaborate with business leaders, architects, engineers and delive…

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