GenAI Lead Senior AI Engineer
Charlotte, NC - USA
Job Summary
Job Title: GenAI Lead / Senior AI Engineer
Location: Edison NJ/Charlotte NC/New York City NY/Philadelphia PA/Stamford CT
Can do Only W2 No C2C
Job Summary:
We are seeking a highly motivated GenAI Lead / Senior AI Engineer to join our growing AI team. This is a hands-on technical leadership role focused on designing developing and deploying next-generation AI-powered applications conversational AI platforms and agentic AI systems. The ideal candidate will possess strong expertise in Generative AI Agentic AI AWS cloud architecture scalable backend development and production-grade AI deployments.
Key Responsibilities:
- Design develop and deploy AI-powered applications including chatbots virtual assistants voice AI solutions and intelligent automation platforms.
- Lead the development and implementation of Agentic AI workflows and autonomous AI systems.
- Build scalable backend services APIs and microservices to support AI applications.
- Design implement and optimize cloud-native AI solutions on AWS.
- Collaborate with product managers software engineers architects and business stakeholders to deliver innovative AI solutions.
- Develop multi-step AI workflows tool integrations and intelligent automation frameworks.
- Optimize AI systems for performance scalability reliability security and cost efficiency.
- Implement best practices for software engineering cloud architecture and AI application development.
- Stay current with emerging AI technologies frameworks and industry trends.
- Provide technical leadership and guidance for AI initiatives and solution design.
Required Skills:
- 5 10 years of Software Engineering experience.
- 2 years of hands-on Generative AI development experience.
- Strong expertise in Generative AI and Agentic AI solutions.
- Experience building Conversational AI and chatbot applications.
- Hands-on experience developing production-grade AI applications.
- Experience creating multi-step AI workflows intelligent agents and tool integrations.
- Familiarity with Voice AI technologies including:
- Speech-to-Text (STT)
- Text-to-Speech (TTS)
- Exposure to Image Generation and Multimodal AI solutions.
- Strong programming experience with:
- Python
- Experience developing scalable:
- APIs
- Backend Services
- Microservices
- Strong understanding of software engineering principles and system design.
- Hands-on AWS cloud experience including:
- ECS
- EKS
- AWS Lambda
- API Gateway
- Amazon S3
- DynamoDB
- RDS
- Experience designing scalable secure and cost-efficient cloud architectures.
Preferred Qualifications:
- Experience leading AI engineering teams or technical initiatives.
- Experience deploying large-scale AI applications in production environments.
- Knowledge of AI orchestration frameworks and autonomous agent architectures.
- Experience with LLM integration and AI-powered automation solutions.
- Familiarity with cloud-native application development and containerized deployments.
- AWS Certifications are a plus.
- Experience with enterprise AI transformation initiatives is preferred.
Soft Skills:
- Strong leadership and technical mentoring capabilities.
- Excellent analytical and problem-solving skills.
- Strong verbal and written communication skills.
- Ability to work independently with minimal supervision.
- Strong collaboration and stakeholder management skills.
- Ability to thrive in a fast-paced innovation-driven environment.
Mandatory Skills:
- Generative AI
- Agentic AI
- Conversational AI
- Chatbot Development
- Voice AI
- Speech-to-Text (STT)
- Text-to-Speech (TTS)
- Python
- Backend Development
- API Development
- Microservices
- AWS
- ECS
- EKS
- AWS Lambda
- API Gateway
- Amazon S3
- DynamoDB
- RDS
- Cloud Architecture
- Software Engineering
- AI Workflow Development
- Intelligent Automation
- Production AI Deployments