["GenAI Architect / AI Platform Lead","GenAI Architect / AI Platform Lead"]

Lorven Technologies

  • Edison
  • 3 days ago
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    Skills

    • AWS Lambdaunmatched
    • Amazon Simple Storage Service (S3)unmatched
    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Application Programming Interface (API)unmatched
    • Architectural Designunmatched
    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Automation Systemsunmatched
    • Best Practicesunmatched
    • C++ Programming Languageunmatched
    • Cloud Architectureunmatched
    • Cloud Computingunmatched
    • Communication Skillsunmatched
    • Computer Programmingunmatched
    • Conversation Engineunmatched
    • Cost Controlunmatched
    • Distributed Computingunmatched
    • Emerging Technologyunmatched
    • Engineeringunmatched
    • Javaunmatched
    • Leadershipunmatched
    • Microservicesunmatched
    • Modeling Languagesunmatched
    • Node.jsunmatched
    • Problem Solving Skillsunmatched
    • Product Engineeringunmatched
    • Python Programming/Scripting Languageunmatched
    • Scalable System Developmentunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Speech Technologyunmatched
    • System Architectureunmatched
    • Technical Leadershipunmatched

    Description

    GenAI Architect / AI Platform Lead
    Location: Edison, NJ (Onsite)
    Job Type: Full-Time
    Salary: DOE


    About the Opportunity

    We are seeking a highly skilled GenAI Architect / AI Platform Lead to drive the design, architecture, and development of next-generation AI-powered platforms and applications. This is a hands-on leadership role requiring deep expertise in Generative AI, Agentic AI Systems, AWS Cloud Architecture, and Full-Stack AI Application Development.

    The ideal candidate will have a strong software engineering background, proven experience building AI solutions at scale, and the ability to lead technical initiatives from concept to deployment.

    Key Responsibilities
    • Design, architect, and develop scalable AI-powered applications, including conversational AI, chatbots, voice AI, and intelligent automation platforms.
    • Lead the development of agentic AI systems with multi-step reasoning, tool integrations, workflow orchestration, and autonomous decision-making capabilities.
    • Build and maintain backend services, APIs, and microservices supporting AI platforms.
    • Design, deploy, and optimize cloud-native AI infrastructure on AWS.
    • Collaborate closely with product, engineering, and business teams to deliver innovative AI solutions.
    • Establish best practices for AI architecture, scalability, security, and operational excellence.
    • Evaluate and integrate emerging AI technologies and frameworks.
    Required Skills & Experience

    Generative AI & Agentic AI
    • Expert-level understanding of Large Language Models (LLMs) and conversational AI systems.
    • Hands-on experience building and deploying agentic AI workflows.
    • Experience with AI orchestration, tool usage, automation, and reasoning frameworks.
    • Knowledge of voice AI technologies (Speech-to-Text and Text-to-Speech).
    • Experience with image generation and multimodal AI systems.
    Software Development
    • Strong programming expertise in Python and/or Node.js.
    • Hands-on experience with Java and C++.
    • Experience building scalable backend platforms and distributed systems.
    • Strong API design and microservices architecture experience.
    AWS Cloud & Infrastructure
    • Extensive hands-on AWS experience.
    • Expertise with:
      • ECS / EKS
      • AWS Lambda
      • API Gateway
      • S3
      • DynamoDB
      • RDS
    • Experience designing highly scalable, secure, and cost-optimized cloud architectures.
    Qualifications
    • 7-12 years of overall software engineering experience.
    • 3+ years of hands-on Generative AI experience.
    • Proven experience in system architecture and technical leadership.
    • Strong analytical, problem-solving, and communication skills.
    • Ability to work in a fast-paced, innovation-driven environment.
    How to Apply

    Interested candidates should submit:
    • Updated Resume
    • Brief summary highlighting relevant Generative AI and AWS experience
    • Examples of AI-powered applications, chatbots, automation systems, or agentic AI solutions developed

    Numbers & Facts

    LocationEdison

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