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GEN AI Solution Architect-6

Jersey City, New Jersey 07030 Posted March 12th, 2026

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Job Type: Full Time

Job Category: IT

Job Description

Role: GEN AI Solution Architect
Location - Jersey City, NJ
Experience - 8 - 14 years of experience
Fulltime Permanent FTE
Technical Expertise:

GEN AI Solution Architect

    Product Roadmap & Modular Design - Define the product vision and roadmap for reusable Gen AI modules (e.g., RAG, prompting frameworks, hybrid ML/LLM systems). - Architect parameterized, business-agnostic solutions that abstract complexity (e.g., pre-configured prompts, vector DB connectors, chunking logic


    Design APIs and microservices
    to expose modules as reusable components (e.g., "text-to-SQL service," "RAG-as-a-service").


    Technical Leadership
    - Standardize patterns (e.g., prompt templates, chunking strategies, few-shot training pipelines) across use cases


    Integrate LLM workflows (e.g., OpenAI, Claude)
    with traditional ML (clustering, classification) and enterprise systems (databases, UI tools). - Optimize performance of Gen AI components (cost, latency, accuracy) and ensure scalability (e.g., load balancing for vector DBs).


    • Adoption & Enablement - Develop documentation, tutorials, and sandbox environments for testing modules. – Train teams on best practices (e.g., prompt engineering, security for LLM outputs)


    • Track metrics: Module reuse rate, contribution volume, time-to-deploy for new use cases. Required Skills & Experience Technical Expertise - Gen AI/ML Engineering: - Hands-on experience with LLM integration (e.g., OpenAI, Anthropic, Llama 2) and frameworks (LangChain, LlamaIndex). - Expertise in RAG workflows: Document chunking (sentence transformers), vector DBs (Pinecone, FAISS), and hybrid search

    Familiarity with text-to-SQL systems, few-shot/chain-of-thought prompting, and traditional ML(clustering with scikit-learn, PyTorch). - Software Engineering: -


    Proficiency in Python, API design
    (FastAPI, Flask), and cloud platforms (AWS Sagemaker, Azure AI). - Experience with CI/CD, containerization (Docker), and infrastructure-as-code (Terraform).


    • UI/Integration Skills: - Frontend integration (React/Streamlit for config UIs) and middleware (message queues, auth systems like R2D2). Product & Strategy - Proven track record of building reusable ML/API products or internal platforms.

Required Skills

PERFORMANCE ARCHITECT

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