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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)
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)