GenAI Architect / AI Platform Lead

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