AWS Cloud Technical Architect – Gen AI

Winwire Technologies; Aurora (CO); On-site; USD 130,000 - 160,000; Full time

Job summary

A leading tech company is looking for an AWS Cloud Technical Architect focusing on Generative AI solutions. The ideal candidate will have extensive expertise in AWS architecture and a proven track record of designing scalable cloud solutions. Responsibilities include leading technical design discussions and mentoring teams, as well as implementing advanced AI capabilities. Requires 10-12 years of experience in relevant fields, and strong communication skills are essential for this role. Join us to innovate and drive AI integration in cloud environments.

Qualifications

• 5+ years of experience in AWS services.
• Experience with LLMs and GenAI platforms.
• Strong collaboration and communication skills.
• Experience in cost optimization and performance tuning.

Responsibilities

• Design end-to-end Cloud-native architectures on AWS.
• Lead technical design discussions and documentation.
• Define best practices for scalability and security.
• Integrate AI services into systems and architectures.

Skills

AWS Lambda

Amazon EC2

Amazon ECS / EKS

S3

RDS / Aurora

DynamoDB

Amazon API Gateway

AWS Step Functions

OpenSearch

Bedrock

AWS IAM

AWS CloudFormation / Terraform

CloudWatch

LLMs

GenAI Platforms

Education

B.E/B.Tech in Technology

Job description

AWS Cloud Technical Architect – Gen AI

Job Type : Full-Time / Contract with WinWire

Job Description :

We are seeking an experienced Technical Architect with deep expertise in AWS Cloud architecture and Generative AI (GenAI) solutions. The ideal candidate will design and lead the implementation of scalable, secure, and production-grade cloud architectures while integrating advanced GenAI capabilities such as LLM-powered applications, RAG systems, and AI-driven automation. This role requires strong architectural vision, hands‑on AWS experience, and a solid understanding of modern AI ecosystems.

• Design end-to-end Cloud-native architectures on AWS aligned with business and technical requirements
• Architect and implement Generative AI solutions using LLMs, RAG pipelines, and AI orchestration frameworks
• Lead technical design discussions and produce high- and low-level architecture documentation
• Define best practices for scalability, security, reliability, and cost optimization
• Design multi-account AWS environments using Well-Architected principles
• Integrate AI services into enterprise systems and microservices architectures
• Provide technical leadership and mentorship to engineering teams
• Establish governance, data security, and responsible AI practices
• Evaluate emerging GenAI technologies and recommend appropriate solutions
• Collaborate with stakeholders, product managers, and DevOps teams to deliver robust solutions
• Experience Range – 10‑12 Years; B.E/B.Tech Graduate in the field of Technology
• Strong collaboration and communication skills to work effectively with diverse teams and stakeholders

Skills & Experience :

• 5+ years of strong experience in AWS which should include below services – AWS Lambda, Amazon EC2, Amazon ECS / EKS, S3, RDS / Aurora, DynamoDB, Amazon API Gateway, AWS Step Functions, OpenSearch, Bedrock, AWS IAM, AWS CloudFormation / Terraform and CloudWatch
• Experience working with LLMs and GenAI platforms (e.g., OpenAI, Anthropic, open-source LLMs)
• Cost optimization and performance tuning; Experience with serverless and Microservices-based architectures;
• Multi-region deployment and high-availability design; Hands-on with Amazon Bedrock and managed AI services;
• RAG (Retrieval-Augmented Generation) architecture design
• Vector databases (e.g., OpenSearch, Pinecone, FAISS); Prompt engineering and evaluation frameworks
• AI model integration into enterprise applications; Understanding of AI security, guardrails, and compliance

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