AWS Generative AI Architect
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Job Summary
Role Overview
We are seeking an experienced AWS Generative AI Architect to design and lead the implementation of scalable secure and production-grade cloud solutions integrating advanced Generative AI (GenAI) capabilities.
The ideal candidate will possess deep expertise in AWS cloud architecture strong hands-on experience with LLMs and GenAI platforms and the ability to architect enterprise-grade AI solutions including RAG-based systems and AI-driven applications.
Key Responsibilities
Design and implement end-to-end cloud-native architectures on AWS aligned with business and technical requirements.
Architect and deliver Generative AI solutions leveraging LLMs RAG pipelines and AI orchestration frameworks.
Lead technical architecture discussions and create high-level and low-level design documentation.
Define and enforce best practices for scalability security reliability and cost optimization.
Design multi-account and multi-region AWS environments following AWS Well-Architected Framework principles.
Integrate GenAI and AI services into enterprise platforms and microservices-based applications.
Establish governance standards including AI security compliance and responsible AI practices.
Provide technical leadership guidance and mentorship to engineering teams.
Evaluate emerging GenAI technologies and recommend scalable architectural solutions.
Collaborate closely with product engineering DevOps and business stakeholders to deliver robust solutions.
Requirements
Required Skills & Experience
AWS Cloud Expertise
5 years of strong hands-on experience with AWS services including:
AWS Lambda
Amazon EC2
Amazon ECS / EKS
Amazon S3
Amazon RDS / Aurora
Amazon DynamoDB
Amazon API Gateway
AWS Step Functions
Amazon OpenSearch
AWS IAM
Amazon CloudWatch
AWS CloudFormation or Terraform
Experience with serverless and microservices-based architectures.
Expertise in multi-region deployments high availability design and disaster recovery.
Strong background in performance optimization and cloud cost management.
Generative AI & LLM Expertise
Hands-on experience with LLMs and Generative AI platforms (OpenAI Anthropic or open-source models).
Experience working with Amazon Bedrock and managed AI services.
Strong experience designing RAG (Retrieval-Augmented Generation) architectures.
Experience with vector databases such as OpenSearch Pinecone or FAISS.
Knowledge of prompt engineering evaluation frameworks and AI model integration.
Understanding of AI security guardrails and compliance considerations.
Educational Qualification
B.E. / in Computer Science Information Technology or a related technology field.
Soft Skills
Strong communication and collaboration skills.
Ability to work effectively with cross-functional and distributed teams.
Excellent problem-solving and architectural decision-making abilities.
Leadership mindset with experience guiding engineering teams.
Required Skills:
Required Skills & Experience AWS Cloud Expertise 5 years of strong hands-on experience with AWS services including: AWS Lambda Amazon EC2 Amazon ECS / EKS Amazon S3 Amazon RDS / Aurora Amazon DynamoDB Amazon API Gateway AWS Step Functions Amazon OpenSearch AWS IAM Amazon CloudWatch AWS CloudFormation or Terraform Experience with serverless and microservices-based architectures. Expertise in multi-region deployments high availability design and disaster recovery. Strong background in performance optimization and cloud cost management. Generative AI & LLM Expertise Hands-on experience with LLMs and Generative AI platforms (OpenAI Anthropic or open-source models). Experience working with Amazon Bedrock and managed AI services. Strong experience designing RAG (Retrieval-Augmented Generation) architectures. Experience with vector databases such as OpenSearch Pinecone or FAISS. Knowledge of prompt engineering evaluation frameworks and AI model integration. Understanding of AI security guardrails and compliance considerations. Educational Qualification B.E. / in Computer Science Information Technology or a related technology field. Soft Skills Strong communication and collaboration skills. Ability to work effectively with cross-functional and distributed teams. Excellent problem-solving and architectural decision-making abilities. Leadership mindset with experience guiding engineering teams.
Company Industry
IT Services and IT Consulting
Key Skills
- APIs
- Pegasystems
- Spring
- SOAP
- .NET
- Hybris
- Solution Architecture
- Service-Oriented Architecture
- Adobe Experience Manager
- J2EE
- Java
- Oracle
