AI AWS Technical Architect
Purple Drive Technologies LLC
Jackson Township, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Jackson Township, United States of America
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Computer Programming
DevOps
Distributed Systems
Python
MongoDB
Node.js
Azure
Search Technologies
AI Infrastructure
Large Language Models
Multi-Agent Systems
Prompt Engineering
Generative AI
AWS Lambda
Containerization
AI Platforms
Kubernetes
Machine Learning Operations
Virtual Agents
Api Gateway
Job description
We are seeking an experienced AI AWS Technical Architect with strong expertise in designing and implementing enterprise-scale AI/ML and Generative AI solutions on AWS cloud platforms. The ideal candidate will possess hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), cloud-native AI architectures, MLOps, and scalable distributed systems., + AWS Cloud Architecture
- Generative AI
- Large Language Models (LLMs)
- AI/ML Solution Design
- Hands-on experience with:
- Amazon Bedrock
- SageMaker
- AWS Lambda
- Amazon EKS
- API Gateway
- Strong programming expertise in:
- Python
- Node.js
- Experience with:
- LangChain
- AutoGen
- LangGraph
- Agentic AI frameworks
- Strong understanding of:
- RAG architectures
- Embeddings
- Vector databases
- Prompt engineering
- Experience with vector databases such as:
- Qdrant
- Pinecone
- OpenSearch
- MongoDB Atlas Vector Search
- Expertise in:
- CI/CD pipelines
- MLOps
- Kubernetes
- Containerization
- Strong understanding of:
- Responsible AI
- AI governance
- Security best practices
- FinOps optimization, * Design and architect scalable AI/ML and Generative AI solutions on AWS cloud
- Build and implement RAG-based enterprise AI systems using LLMs and vector databases
- Develop AI orchestration workflows and agentic AI solutions using modern AI frameworks
- Architect scalable cloud-native AI infrastructure leveraging AWS services
- Define embedding strategies, prompt engineering standards, and retrieval optimization techniques
- Establish MLOps practices including:
- CI/CD pipelines
- Model deployment
- Monitoring
- Lifecycle management
- Implement security, governance, and Responsible AI best practices
- Optimize AI systems for:
- Performance
- Reliability
- Cost efficiency
- Scalability
- Collaborate with engineering, DevOps, product, and business teams to drive AI initiatives
- Mentor technical teams and provide architectural guidance across AI programs
Requirements
- Experience building enterprise AI platforms and distributed systems
- AWS Certifications preferred:
- AWS Solutions Architect
- AWS Machine Learning Specialty
- Exposure to Kubernetes and cloud-native deployment patterns
- Strong communication and stakeholder management skills