Overview:Job Title: AI AWS Technical ArchitectExperience: 6-8 Years
Job Type: Full-Time
Job SummaryWe 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.
This role requires strong technical leadership, architecture design capabilities, and hands-on engineering expertise to deliver secure, scalable, and high-performance AI-driven applications.
Required Skills- Strong expertise in:
- 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:
- 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
Key Responsibilities- 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
Preferred Qualifications- 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
