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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