Principal Consultant-AWS Solution Architect-Gen AI

Job Description

Job Summary

We are seeking an accomplished Solution Architect (AWS)-GenAI with 12+ years of experience specializing in AWS data platforms, cloud infrastructure, and scalable enterprise architecture define and deliver secure, scalable, and production-grade generative AI solutions on AWS. The role will translate business priorities into reference architectures, lead solution design across data, application, model, and platform layers, and guide engineering teams from discovery through deployment and operationalization.

Key Responsibilities

• Architect and deliver scalable AWS data and infrastructure solutions aligned with enterprise requirements.
• Provide deep technical leadership across AWS cloud, data platforms, infrastructure, security, and performance optimization.
• Define architecture standards, best practices, and cloud modernization strategies for complex data environments.
• Design RAG, agentic AI, conversational AI, document intelligence, and workflow automation solutions using Amazon Bedrock, foundation models, vector search, orchestration frameworks, and enterprise data sources.
• Define resilient cloud-native architectures using services such as Amazon Bedrock, SageMaker, Lambda, API Gateway, ECS/EKS, S3, OpenSearch, Step Functions, EventBridge, IAM, KMS, and CloudWatch.
• Lead architecture reviews, design workshops, proofs of concept, and delivery governance; provide hands-on guidance to engineering, data science, DevOps, security, and product teams.
• Architect secure integrations with APIs, data platforms, identity systems, SaaS applications, and legacy environments while ensuring interoperability, observability, and maintainability.
• Embed privacy, access control, content safety, model evaluation, prompt security, auditability, and regulatory requirements into solution designs and delivery standards.
• Establish approaches for model selection, latency, throughput, scalability, availability, disaster recovery, and cost optimization; define measurable architecture and operational KPIs.
• Partner with business and technology leaders to shape solution options, estimates, and adoption plans; mentor architects and engineers and contribute to reusable accelerators, standards, and knowledge assets.

Required Qualification

• 12-15 years of experience in software, cloud, data, or AI engineering, including significant experience leading enterprise solution architecture and large-scale technology delivery.
• Demonstrated expertise architecting production solutions on AWS, with strong knowledge of cloud-native design, distributed systems, security, networking, integration, high availability, and disaster recovery.
• Hands-on experience with Generative AI and LLM solution patterns, including RAG, embeddings, vector databases, prompt engineering, agents, model evaluation, guardrails, and LLMOps/MLOps.
• Strong proficiency in Python, REST APIs, microservices, containers, infrastructure as code, CI/CD, and observability, with the ability to review designs and guide implementation teams

Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.

Please Note : We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we may verify your employment, education, and other details. Please ensure all information is factual and submitted on time. For any assistance, your recruiter is available to support you.

Job Snapshot

Updated Date

10-11-2026

Job ID

JOB-0000005003

Sub-Group

CIDA-05-1

Location

Raleigh, North Carolina, United States

Experience

12 - 16 Years

Employee Type

Permanent