Senior Enterprise Architect - GenAI Transformation

Hi,

Our client is looking for Senior Enterprise Architect - GenAI Transformation in Warren, NJ below is the detailed requirements.

Job Title: Senior Enterprise Architect - GenAI Transformation

Location: Warren, NJ

Domain: (Finance/Insurance /Re-Insurance Domain)

Job Description:

• Experience in technology leadership with proven track record of driving enterprise-scale GenAI transformation
• Experience with strong pedigree of organizations, Proven track record of leading large-scale AI/GenAI transformations
• Ability to combine strategy, architecture, and execution
• Experience building lean, high-impact teams
• Established or emerging industry thought leader
• Executive presence with strong consulting mindset, Structured thinker and storyteller
• Technically authoritative yet business outcome-driven, High ownership, ability to operate in matrixed organizations
• 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)