Enterprise Architect

Role: Chief/Senior Enterprise Architect - GenAI Transformation

Location: Warren, NJ 07059, United States (3 Day Onsite)

Duration: Long Term Project

20+ years of experience in technology leadership with proven track record of driving enterprise-scale GenAI transformation. This role combines CTO-level architecture leadership, consulting advisory, and internal capability building, with a strong focus on insurance / Re-Insurance clients.

What We Are Looking For

Personal Characteristics

15+ years of experience with strong pedigree of organizations

Executive presence with strong consulting mindset

Proven track record of leading large-scale AI/GenAI transformations

Structured thinker and storyteller

Ability to combine strategy, architecture, and execution

Technically authoritative yet business outcome-driven

Experience building lean, high-impact teams

High ownership, ability to operate in matrixed organizations

Established or emerging industry thought leader

Strong communicator with ability to influence at all levels

Client Consulting & Transformation

Lead CXO-level engagements, workshops, and advisory sessions

Act as a trusted advisor to clients on AI strategy and transformation roadmaps

Translate business problems into AI-driven solutions and executable architectures

Support RFP/RFI, solutioning, and large deal pursuits

Build strong executive and technical credibility with stakeholders

Business Growth & Market Leadership

Enable account growth and expansion through transformation initiatives

Position differentiated solutions competitively in the market

Build strong industry presence and brand credibility

Technical (including GenAI) & Enterprise Architecture Leadership

Define end-to-end architecture across applications, data, integration, infrastructure, and AI

Strong knowledge of cloud platforms (Azure, AWS, Google Cloud Platform)

Drive decisions on scalability, performance, resiliency, security, and cost optimization

Establish enterprise AI stacks and platform strategies

Design and implement agentic AI systems

Experience with MCP Connectors, vector databases and enterprise data ecosystems

Ability to shape AI-driven opportunities and map business problems to AI solutions

Strong Insurance / Re-Insurance domain expertise (preferred)