GenAI Architect / AI Platform Lead

Lorven Technologies Inc
Edison, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Edison, United States of America

Tech stack

Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
C++
Computer Programming
Distributed Systems
Amazon DynamoDB
Python
Node.js
Software Engineering
Systems Architecture
Speech Recognition
Workflow Management Systems
AI Infrastructure
Core Voice Platform
Cloud Platform System
Chatbots
Large Language Models
Multi-Agent Systems
IT Architecture
Generative AI
AWS Lambda
Backend
AI Platforms
Speech Synthesis
Virtual Agents
Api Design
Api Gateway
Microservices

Job description

  • 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.

Requirements

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., 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., * 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.

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