Enterprise Architect
Job in
Newark, Essex County, New Jersey, 07175, USA
Listed on 2026-06-13
Listing for:
Jobs via Dice
Full Time
position Listed on 2026-06-13
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Cloud Computing, IT Consultant
Job Description & How to Apply Below
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Rivago infotech inc, is seeking the following. Apply via Dice today!
Role- 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
- 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
- Enable account growth and expansion through transformation initiatives
- Position differentiated solutions competitively in the market
- Build strong industry presence and brand credibility
- 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)
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