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AI Architect
Job in
Jersey City, Hudson County, New Jersey, 07390, USA
Listed on 2026-07-20
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-20
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Software Architect, AI Reliability/ Performance Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Responsibilities
- Define end-to-end architecture for agentic AI-enabled platform across data, AI, orchestration, and integration layers with some real hands‑on experience doing POCs
- Design and govern agentic orchestration framework for multi-step production workflows
- Establish architecture patterns for RAG and grounding, Vector search and retrieval, MCP tool access layer, prompt management and evaluation
- Have a deep understanding of Agentic coding and best practices of using Agentic coding for large-scale implementations
- Familiarity in implementing A2A or similar frameworks in a large-scale environment
- Define integration architecture across Lakehouse, ODS, document systems, Underwriting systems and third-party APIs
- Design configurable, metadata-driven framework for multi-LOB onboarding
- Define API/microservices patterns (Python/.NET hybrid)
- Define where and how to use GenAI vs deterministic logic, agentic workflows vs pipeline workflows
- Establish multimodal integration approach combining structured, unstructured, and external data
- Design prompt lifecycle, evaluation, and optimization strategy
- Define AI safety and guardrails (PII, hallucination control, policy constraints)
- Establish Model Ops and Prompt Ops frameworks
- Ensure explainability, auditability, and traceability of AI outputs
- Lead technical execution across AI, data, and platform teams
- Guide engineers (AI, data, full-stack) and ensure alignment with architecture
- Drive technical decisions and stakeholder communication
- Experience:
10–15+ years in software/data/AI engineering with 4–6+ years in AI/ML/GenAI architecture - Background:
Strong experience in designing enterprise-scale platforms and distributed systems - Domain (good to have):
Insurance / reinsurance / financial services - Education:
Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field - Profile Type:
Hands‑on architect with ability to balance strategy + execution
- AI architecture
- Agentic coding
- API design
- Microservices
- Data integration
- Orchestration frameworks
- Model Ops
- Prompt Ops
- Vector search
- Large scale implementations
- Leadership
- Stakeholder communication
- Technical execution
- Guidance
- Strategy execution
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